A New Feature of Uniformity of Image Texture Directions Coinciding with the Human Eyes Perception 1
|
|
- Branden Kristopher Marsh
- 5 years ago
- Views:
Transcription
1 A New Feature of Unformty of Image Texture Drectons Concdng wth the Human Eyes Percepton Xng-Jan He, De-Shuang Huang, Yue Zhang, Tat-Mng Lo 2, and Mchael R. Lyu 3 Intellgent Computng Lab, Insttute of Intellgent Machnes, Chnese Academy of Scences,P.O.Box 30, Hefe, Anhu 23003, Chna {xjhe,yzhang}@m.ac.cn 2 Informaton Engneerng Dept., The Chnese Unversty of Hong Kong, Shatn, Hong Kong tmlo@e.cuh.edu.h 3 Computer Scence & Engneerng Dept., The Chnese Unversty of Hong Kong, Shatn, Hong Kong lyu@cse.cuh.edu.h Abstract:In ths paper we present a new feature of texture mages whch can scale the unformty of mage texture drectons. The feature value s obtaned by examnng the statstc characterstc of the gradent nformaton of the mage. The smulaton result llustrates that ths feature can exactly concde wth the unformty degree of mage texture drectons accordng to the percepton of human eyes.. Introducton Texture features are one nd of features whch can reflect the vsual property of homogenous performance n mages and are ndependent of color and brghtness. The research of mage texture features has been a hot topc for long. Many methods, such as the wdely used grey level co-occurrence matrx method, to portray the mage texture characterstcs have been proposed n a large number of lteratures [-3]. In resent years, some ntellgent methods such as neural networ based technques have been presented [4-9]. A very mportant characterstc of texture mage s the dstrbutng trat of texture drectons. For mages wth strong texture structures (e.g., bar, cloth, roc), the statstc propertes of texture drectons are generally very useful n practcal applcatons such as object recognton and mage retreval. But pecular features to reflect the dstrbutng property of texture drectons have been seldom studed. The Tamura feature of drectonalty s one of these pecular features. The Tamura features, ncludng coarseness, contrast, drectonalty, lneleness, regularty, and roughness, are constructed n accordance wth psychologcal studes on the human Ths wor was supported by the Natonal Natural Scence Foundaton of Chna (Nos and ), and ree grants from the Hong Kong Specal Admnstratve Regon, Chna: RGC Project No.CUHK 470/04E, RGC Project No. CUHK4205/04E and UGC Project No.AoE/E-0/99.
2 percepton of texture [0]. The drectonalty s obtaned by examnng the sharp degree of a hstogram whch s constructed from the gradent vectors of all the mage pxels. But the Tamura feature of drectonalty behaves not so well n reflectng another mportant property,.e., texture drecton unformty, of mages. Undoubtedly, a feature reflectng the unformty degree of mage texture drectons accordng to the percepton of human eyes s very useful n many felds. Ths paper s organzed as follows. Secton 2 brefly revews the extracton method of Tamura feature of drectonalty. A new feature that can scale the unformty of mage texture drectons s presented n Secton 3. Secton 4 gves some smulaton results. Fnally, some conclusve remars are ncluded n Secton Tamura Feature of Drectonalty When we compute the Tamura feature of drectonalty, mages need to be convoluted wth Prewtt mass as shown n fgure to obtan the horzontal and vertcal dfferences, H and V, of the mage. Then, gradent vector at each pxel can be computed as follows: G = ( H + V )/2. θ = tan ( V + H) + π / 2. where G s magntude and θ s angle. Then, by quantzng θ and countng the pxels wth the correspondng magntude G greater than a threshold, a hstogram ofθ, denoted as H D, can be constructed. Ths hstogram wll exhbt strong peas for hghly drectonal mages and wll be relatvely flat for mages wthout strong drectonalty. So we can obtan an overall drectonalty measure from the entre hstogram as follows: F np 2 dr = ( φ φp ) HD ( φ) p φ wp. () where p s ranged over n p peas; and for each pea p, w p s the set of bns dstrbuted over the pea; whle φ p s the bn that taes the pea value. Ths equaton reflects the sharpness of the peas,.e., a smaller value of F dr wll correspondng to the mage whch gets a sharper peas hstogram. In addton, we can also see from eqn. (3) that the angle dstances between the peas can not be reflected out, so the unformty of texture drectons can not be obtaned. In alluson to ths shortage, we present a new feature n the next secton.
3 3. The New Feature of Drecton Unformty In our algorthm, mage s also convoluted wth gradent operators, whch can be Prewtt mass or Sobel mass, as shown n fgure 2. Just le computng drectonalty of the Tamura feature, wth a selected threshold of G denoted wth letter b, we can also construct a hstogram ofθ. The area [0,π ] can be equally dvded nto m parts, each part of whch s called as one bn. These bns are ndexed wth nteger, 2, 3, m. For example, the 6th bn covers the nterval area of [(5/m)π, (6/m)π ]. Suppose that the ntal value of every bn s zero. Examnng the gradent vector of each pxel, f the magntude G s larger than the threshold, then the value of the bn n whch the angle θ s contaned n wll be added by one Fg. Prewtt mass. Fg.2 Sobel mass. When ths process s accomplshed, a probablty hstogram s obtaned by dvdng each value by the sum of the m values of the m bns. Then these bns are sorted by ther probablty values from the greatest to the smallest and the frst bns wth greater probablty values are pced out. The nteger s determned by a threshold d selected between (0, ) wth the follow condtons: p d and = p < d. (2) = Generally, the value of d s selected around 0.5. The bn values are normalzed by the followng formula: (3) prb = p / p =, 2...,. = Thus we get bns wth ther ndexes and normalzed ther probablty values p to prb. It should not be forgotten that the ndex of each bn ndcates the drecton of ths bn. In other words, for an mage, we then obtaned ts texture drectons wth largest probablty values. For each bn, we consder the acute angle wth the frst bn, whch gets the largest probablty value, as the angle dstance: m f ( m/2) (4) a = { otherwse where m s the fore mentoned number of bns.the presented new feature s computed by the followng formula:
4 2 unf = [( ln )] = = F prb prb a prb (5) a are all mentoned forward. From the formula we can deduce where, prb and that the smaller values of drectonalty and better drecton unformty. F unf correspond to the mages whch have stronger texture 4.Smulaton Results The texture mages are all comng from the wdely used Brodatz s. The algorthm mentoned above needs three parameters,.e., the number of bns m, the thresholds b and d. In our experments we adopted Prewtt mass, assume that the number of bns s 2, the threshold b s 9, and the threshold d s 0.5. Fg.3 Texture mages sorted by the values of drectonalty of Tamura feature from smallest to greatest Fg.4 The same texture mages sorted by the values of the new feature from smallest to greatest
5 From Fgures 3 and 4, t can be clearly seen that the new feature has some superorty than the Tamura feature of drectonalty n reflectng the mage texture drecton characterstc. Further more, t can also be found that the new feature of texture drecton unformty s to completely concde wth the human eye. 5.Conclusons Ths paper has presented a new mage texture feature and nvestgated ts mplementaton ablty. The smulaton result showed that the new feature s effectve n reflectng the degree of the mage texture drecton unformty and the strength of mage texture drectonalty. The mage sequence sorted by value of ths feature of each mage also llustrates that the feature can exactly concde wth the unformty degree of mage texture drectons n the lght of percepton of human eyes. References. D. Jones and P. Jacway.: Usng Granold for Texture Classfcaton. Ffth Internatonal Conference on Dgtal Image Computng, Technques and Applcatons, DICT 99, Perth, Australa, 999, pp L.Wang and J. Lu.: Texture Classfcaton usng Multresoluton Marov Random Feld Models. Pattern Recognton Letters, vol. 20, 999, pp E.S. Gadelmawla.: A vson system for surface roughness characterstczaton usng the gray level co-occurrence matrx. NDT&E Internatonal 37 (2004) D.S.Huang.: Intellgent Sgnal Processng Technque for Hgh Resoluton Radars. Publshng House of Machne Industry of Chna, February B. Lerner, H. Guterman, M. Aladjem and H. Dnsten.: A Comparatve Study of Neural Networ based Feature Extracton Paradgms. Pattern Recognton Letters, Vol. 20, 999, pp D.S.Huang.: A constructve approach for fndng arbtrary roots of polynomals by neural networs. IEEE Transactons on Neural Networs,Vol.5, No.2, pp , D.S.Huang.: Systematc Theory of Neural Networs for Pattern Recognton. Publshng House of Electronc Industry of Chna, Bejng, D.S.Huang.: Radal bass probablstc neural networs: Model and applcaton. Internatonal Journal of Pattern Recognton and Artfcal Intellgence, 3(7), 083-0, D.S.Huang, The local mnma free condton of feedforward neural networs for outersupervsed learnng, IEEE Trans on Systems, Man and Cybernetcs, Vol.28B, No.3, 998, H. Tamura, S. Mor, and T. Yamawa, Texture feature correspondng to vsual percepton, IEEE Trans. On Systems, Man, and Cybernetcs, vol. Smc-8, No. 6, June, 978.
Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers
IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth
More informationA Fast Visual Tracking Algorithm Based on Circle Pixels Matching
A Fast Vsual Trackng Algorthm Based on Crcle Pxels Matchng Zhqang Hou hou_zhq@sohu.com Chongzhao Han czhan@mal.xjtu.edu.cn Ln Zheng Abstract: A fast vsual trackng algorthm based on crcle pxels matchng
More informationFEATURE EXTRACTION. Dr. K.Vijayarekha. Associate Dean School of Electrical and Electronics Engineering SASTRA University, Thanjavur
FEATURE EXTRACTION Dr. K.Vjayarekha Assocate Dean School of Electrcal and Electroncs Engneerng SASTRA Unversty, Thanjavur613 41 Jont Intatve of IITs and IISc Funded by MHRD Page 1 of 8 Table of Contents
More informationLocal Quaternary Patterns and Feature Local Quaternary Patterns
Local Quaternary Patterns and Feature Local Quaternary Patterns Jayu Gu and Chengjun Lu The Department of Computer Scence, New Jersey Insttute of Technology, Newark, NJ 0102, USA Abstract - Ths paper presents
More informationCluster Analysis of Electrical Behavior
Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School
More informationLearning the Kernel Parameters in Kernel Minimum Distance Classifier
Learnng the Kernel Parameters n Kernel Mnmum Dstance Classfer Daoqang Zhang 1,, Songcan Chen and Zh-Hua Zhou 1* 1 Natonal Laboratory for Novel Software Technology Nanjng Unversty, Nanjng 193, Chna Department
More informationRobust Shot Boundary Detection from Video Using Dynamic Texture
Sensors & Transducers 204 by IFSA Publshng, S. L. http://www.sensorsportal.com Robust Shot Boundary Detecton from Vdeo Usng Dynamc Teture, 3 Peng Tale, 2 Zhang Wenjun School of Communcaton & Informaton
More informationA Clustering Algorithm for Key Frame Extraction Based on Density Peak
Journal of Computer and Communcatons, 2018, 6, 118-128 http://www.scrp.org/ournal/cc ISSN Onlne: 2327-5227 ISSN Prnt: 2327-5219 A Clusterng Algorthm for Key Frame Extracton Based on Densty Peak Hong Zhao
More informationImprovement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration
Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,
More informationUsing Fuzzy Logic to Enhance the Large Size Remote Sensing Images
Internatonal Journal of Informaton and Electroncs Engneerng Vol. 5 No. 6 November 015 Usng Fuzzy Logc to Enhance the Large Sze Remote Sensng Images Trung Nguyen Tu Huy Ngo Hoang and Thoa Vu Van Abstract
More informationParallelism for Nested Loops with Non-uniform and Flow Dependences
Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr
More informationThe Research of Support Vector Machine in Agricultural Data Classification
The Research of Support Vector Machne n Agrcultural Data Classfcaton Le Sh, Qguo Duan, Xnmng Ma, Me Weng College of Informaton and Management Scence, HeNan Agrcultural Unversty, Zhengzhou 45000 Chna Zhengzhou
More informationMULTISPECTRAL IMAGES CLASSIFICATION BASED ON KLT AND ATR AUTOMATIC TARGET RECOGNITION
MULTISPECTRAL IMAGES CLASSIFICATION BASED ON KLT AND ATR AUTOMATIC TARGET RECOGNITION Paulo Quntlano 1 & Antono Santa-Rosa 1 Federal Polce Department, Brasla, Brazl. E-mals: quntlano.pqs@dpf.gov.br and
More informationVirtual Machine Migration based on Trust Measurement of Computer Node
Appled Mechancs and Materals Onlne: 2014-04-04 ISSN: 1662-7482, Vols. 536-537, pp 678-682 do:10.4028/www.scentfc.net/amm.536-537.678 2014 Trans Tech Publcatons, Swtzerland Vrtual Machne Mgraton based on
More informationThe Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole
Appled Mathematcs, 04, 5, 37-3 Publshed Onlne May 04 n ScRes. http://www.scrp.org/journal/am http://dx.do.org/0.436/am.04.584 The Research of Ellpse Parameter Fttng Algorthm of Ultrasonc Imagng Loggng
More informationTsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance
Tsnghua Unversty at TAC 2009: Summarzng Mult-documents by Informaton Dstance Chong Long, Mnle Huang, Xaoyan Zhu State Key Laboratory of Intellgent Technology and Systems, Tsnghua Natonal Laboratory for
More informationA Binarization Algorithm specialized on Document Images and Photos
A Bnarzaton Algorthm specalzed on Document mages and Photos Ergna Kavalleratou Dept. of nformaton and Communcaton Systems Engneerng Unversty of the Aegean kavalleratou@aegean.gr Abstract n ths paper, a
More informationA Fast Content-Based Multimedia Retrieval Technique Using Compressed Data
A Fast Content-Based Multmeda Retreval Technque Usng Compressed Data Borko Furht and Pornvt Saksobhavvat NSF Multmeda Laboratory Florda Atlantc Unversty, Boca Raton, Florda 3343 ABSTRACT In ths paper,
More informationAn Image Fusion Approach Based on Segmentation Region
Rong Wang, L-Qun Gao, Shu Yang, Yu-Hua Cha, and Yan-Chun Lu An Image Fuson Approach Based On Segmentaton Regon An Image Fuson Approach Based on Segmentaton Regon Rong Wang, L-Qun Gao, Shu Yang 3, Yu-Hua
More informationAn Improved Image Segmentation Algorithm Based on the Otsu Method
3th ACIS Internatonal Conference on Software Engneerng, Artfcal Intellgence, Networkng arallel/dstrbuted Computng An Improved Image Segmentaton Algorthm Based on the Otsu Method Mengxng Huang, enjao Yu,
More informationComparison Study of Textural Descriptors for Training Neural Network Classifiers
Comparson Study of Textural Descrptors for Tranng Neural Network Classfers G.D. MAGOULAS (1) S.A. KARKANIS (1) D.A. KARRAS () and M.N. VRAHATIS (3) (1) Department of Informatcs Unversty of Athens GR-157.84
More informationFace Recognition Based on SVM and 2DPCA
Vol. 4, o. 3, September, 2011 Face Recognton Based on SVM and 2DPCA Tha Hoang Le, Len Bu Faculty of Informaton Technology, HCMC Unversty of Scence Faculty of Informaton Scences and Engneerng, Unversty
More informationA PATTERN RECOGNITION APPROACH TO IMAGE SEGMENTATION
1 THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Seres A, OF THE ROMANIAN ACADEMY Volume 4, Number 2/2003, pp.000-000 A PATTERN RECOGNITION APPROACH TO IMAGE SEGMENTATION Tudor BARBU Insttute
More informationAvailable online at Available online at Advanced in Control Engineering and Information Science
Avalable onlne at wwwscencedrectcom Avalable onlne at wwwscencedrectcom Proceda Proceda Engneerng Engneerng 00 (2011) 15000 000 (2011) 1642 1646 Proceda Engneerng wwwelsevercom/locate/proceda Advanced
More informationPalmprint Feature Extraction Using 2-D Gabor Filters
Palmprnt Feature Extracton Usng 2-D Gabor Flters Wa Kn Kong Davd Zhang and Wenxn L Bometrcs Research Centre Department of Computng The Hong Kong Polytechnc Unversty Kowloon Hong Kong Correspondng author:
More informationBioTechnology. An Indian Journal FULL PAPER. Trade Science Inc.
[Type text] [Type text] [Type text] ISSN : 0974-74 Volume 0 Issue BoTechnology 04 An Indan Journal FULL PAPER BTAIJ 0() 04 [684-689] Revew on Chna s sports ndustry fnancng market based on market -orented
More informationShape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram
Shape Representaton Robust to the Sketchng Order Usng Dstance Map and Drecton Hstogram Department of Computer Scence Yonse Unversty Kwon Yun CONTENTS Revew Topc Proposed Method System Overvew Sketch Normalzaton
More informationMULTISPECTRAL REMOTE SENSING IMAGE CLASSIFICATION WITH MULTIPLE FEATURES
MULISPECRAL REMOE SESIG IMAGE CLASSIFICAIO WIH MULIPLE FEAURES QIA YI, PIG GUO, Image Processng and Pattern Recognton Laboratory, Bejng ormal Unversty, Bejng 00875, Chna School of Computer Scence and echnology,
More informationClassifier Selection Based on Data Complexity Measures *
Classfer Selecton Based on Data Complexty Measures * Edth Hernández-Reyes, J.A. Carrasco-Ochoa, and J.Fco. Martínez-Trndad Natonal Insttute for Astrophyscs, Optcs and Electroncs, Lus Enrque Erro No.1 Sta.
More informationAn efficient method to build panoramic image mosaics
An effcent method to buld panoramc mage mosacs Pattern Recognton Letters vol. 4 003 Dae-Hyun Km Yong-In Yoon Jong-Soo Cho School of Electrcal Engneerng and Computer Scence Kyungpook Natonal Unv. Abstract
More informationDetermining the Optimal Bandwidth Based on Multi-criterion Fusion
Proceedngs of 01 4th Internatonal Conference on Machne Learnng and Computng IPCSIT vol. 5 (01) (01) IACSIT Press, Sngapore Determnng the Optmal Bandwdth Based on Mult-crteron Fuson Ha-L Lang 1+, Xan-Mn
More informationCOMPLEX WAVELET TRANSFORM-BASED COLOR INDEXING FOR CONTENT-BASED IMAGE RETRIEVAL
COMPLEX WAVELET TRANSFORM-BASED COLOR INDEXING FOR CONTENT-BASED IMAGE RETRIEVAL Nader Safavan and Shohreh Kasae Department of Computer Engneerng Sharf Unversty of Technology Tehran, Iran skasae@sharf.edu
More informationAn Optimal Algorithm for Prufer Codes *
J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,
More informationA Novel Adaptive Descriptor Algorithm for Ternary Pattern Textures
A Novel Adaptve Descrptor Algorthm for Ternary Pattern Textures Fahuan Hu 1,2, Guopng Lu 1 *, Zengwen Dong 1 1.School of Mechancal & Electrcal Engneerng, Nanchang Unversty, Nanchang, 330031, Chna; 2. School
More informationAudio Content Classification Method Research Based on Two-step Strategy
(IJACSA) Internatonal Journal of Advanced Computer Scence and Applcatons, Audo Content Classfcaton Method Research Based on Two-step Strategy Sume Lang Department of Computer Scence and Technology Chongqng
More informationA Gradient Difference based Technique for Video Text Detection
A Gradent Dfference based Technque for Vdeo Text Detecton Palaahnakote Shvakumara, Trung Quy Phan and Chew Lm Tan School of Computng, Natonal Unversty of Sngapore {shva, phanquyt, tancl }@comp.nus.edu.sg
More informationApplying EM Algorithm for Segmentation of Textured Images
Proceedngs of the World Congress on Engneerng 2007 Vol I Applyng EM Algorthm for Segmentaton of Textured Images Dr. K Revathy, Dept. of Computer Scence, Unversty of Kerala, Inda Roshn V. S., ER&DCI Insttute
More informationHigh-Boost Mesh Filtering for 3-D Shape Enhancement
Hgh-Boost Mesh Flterng for 3-D Shape Enhancement Hrokazu Yagou Λ Alexander Belyaev y Damng We z Λ y z ; ; Shape Modelng Laboratory, Unversty of Azu, Azu-Wakamatsu 965-8580 Japan y Computer Graphcs Group,
More informationA Gradient Difference based Technique for Video Text Detection
2009 10th Internatonal Conference on Document Analyss and Recognton A Gradent Dfference based Technque for Vdeo Text Detecton Palaahnakote Shvakumara, Trung Quy Phan and Chew Lm Tan School of Computng,
More informationS1 Note. Basis functions.
S1 Note. Bass functons. Contents Types of bass functons...1 The Fourer bass...2 B-splne bass...3 Power and type I error rates wth dfferent numbers of bass functons...4 Table S1. Smulaton results of type
More informationA high precision collaborative vision measurement of gear chamfering profile
Internatonal Conference on Advances n Mechancal Engneerng and Industral Informatcs (AMEII 05) A hgh precson collaboratve vson measurement of gear chamferng profle Conglng Zhou, a, Zengpu Xu, b, Chunmng
More informationNovel Pattern-based Fingerprint Recognition Technique Using 2D Wavelet Decomposition
Mathematcal Methods for Informaton Scence and Economcs Novel Pattern-based Fngerprnt Recognton Technque Usng D Wavelet Decomposton TUDOR BARBU Insttute of Computer Scence of the Romanan Academy T. Codrescu,,
More informationLocal Tri-directional Weber Rhombus Co-occurrence Pattern: A New Texture Descriptor for Brodatz Texture Image Retrieval
ISS: 2278 323 Internatonal Journal of Advanced Research n Computer Engneerng & Technology (IJARCET) Local Tr-drectonal Weber Rhombus Co-occurrence Pattern: A ew Texture Descrptor for Brodatz Texture Image
More informationCombination of Color and Local Patterns as a Feature Vector for CBIR
Internatonal Journal of Computer Applcatons (975 8887) Volume 99 No.1, August 214 Combnaton of Color and Local Patterns as a Feature Vector for CBIR L.Koteswara Rao Asst.Professor, Dept of ECE Faculty
More informationRelated-Mode Attacks on CTR Encryption Mode
Internatonal Journal of Network Securty, Vol.4, No.3, PP.282 287, May 2007 282 Related-Mode Attacks on CTR Encrypton Mode Dayn Wang, Dongda Ln, and Wenlng Wu (Correspondng author: Dayn Wang) Key Laboratory
More informationA Novel Term_Class Relevance Measure for Text Categorization
A Novel Term_Class Relevance Measure for Text Categorzaton D S Guru, Mahamad Suhl Department of Studes n Computer Scence, Unversty of Mysore, Mysore, Inda Abstract: In ths paper, we ntroduce a new measure
More informationIMAGE FUSION TECHNIQUES
Int. J. Chem. Sc.: 14(S3), 2016, 812-816 ISSN 0972-768X www.sadgurupublcatons.com IMAGE FUSION TECHNIQUES A Short Note P. SUBRAMANIAN *, M. SOWNDARIYA, S. SWATHI and SAINTA MONICA ECE Department, Aarupada
More informationA fast algorithm for color image segmentation
Unersty of Wollongong Research Onlne Faculty of Informatcs - Papers (Arche) Faculty of Engneerng and Informaton Scences 006 A fast algorthm for color mage segmentaton L. Dong Unersty of Wollongong, lju@uow.edu.au
More informationTHE CONDENSED FUZZY K-NEAREST NEIGHBOR RULE BASED ON SAMPLE FUZZY ENTROPY
Proceedngs of the 20 Internatonal Conference on Machne Learnng and Cybernetcs, Guln, 0-3 July, 20 THE CONDENSED FUZZY K-NEAREST NEIGHBOR RULE BASED ON SAMPLE FUZZY ENTROPY JUN-HAI ZHAI, NA LI, MENG-YAO
More informationPCA Based Gait Segmentation
Honggu L, Cupng Sh & Xngguo L PCA Based Gat Segmentaton PCA Based Gat Segmentaton Honggu L, Cupng Sh, and Xngguo L 2 Electronc Department, Physcs College, Yangzhou Unversty, 225002 Yangzhou, Chna 2 Department
More informationCorner-Based Image Alignment using Pyramid Structure with Gradient Vector Similarity
Journal of Sgnal and Informaton Processng, 013, 4, 114-119 do:10.436/jsp.013.43b00 Publshed Onlne August 013 (http://www.scrp.org/journal/jsp) Corner-Based Image Algnment usng Pyramd Structure wth Gradent
More informationHybrid Non-Blind Color Image Watermarking
Hybrd Non-Blnd Color Image Watermarkng Ms C.N.Sujatha 1, Dr. P. Satyanarayana 2 1 Assocate Professor, Dept. of ECE, SNIST, Yamnampet, Ghatkesar Hyderabad-501301, Telangana 2 Professor, Dept. of ECE, AITS,
More informationClassifying Acoustic Transient Signals Using Artificial Intelligence
Classfyng Acoustc Transent Sgnals Usng Artfcal Intellgence Steve Sutton, Unversty of North Carolna At Wlmngton (suttons@charter.net) Greg Huff, Unversty of North Carolna At Wlmngton (jgh7476@uncwl.edu)
More informationSkew Angle Estimation and Correction of Hand Written, Textual and Large areas of Non-Textual Document Images: A Novel Approach
Angle Estmaton and Correcton of Hand Wrtten, Textual and Large areas of Non-Textual Document Images: A Novel Approach D.R.Ramesh Babu Pyush M Kumat Mahesh D Dhannawat PES Insttute of Technology Research
More informationShape-adaptive DCT and Its Application in Region-based Image Coding
Internatonal Journal of Sgnal Processng, Image Processng and Pattern Recognton, pp.99-108 http://dx.do.org/10.14257/sp.2014.7.1.10 Shape-adaptve DCT and Its Applcaton n Regon-based Image Codng Yamn Zheng,
More informationBackpropagation: In Search of Performance Parameters
Bacpropagaton: In Search of Performance Parameters ANIL KUMAR ENUMULAPALLY, LINGGUO BU, and KHOSROW KAIKHAH, Ph.D. Computer Scence Department Texas State Unversty-San Marcos San Marcos, TX-78666 USA ae049@txstate.edu,
More informationEditorial Manager(tm) for International Journal of Pattern Recognition and
Artfcal Intellgence Edtoral Manager(tm) for Internatonal Journal of Pattern Recognton and Manuscrpt Draft Manuscrpt Number: Ttle: TEXT LOCALIZATION IN COMPLEX COLOR DOCUMENTS Artcle Type: Research Paper
More informationCS 534: Computer Vision Model Fitting
CS 534: Computer Vson Model Fttng Sprng 004 Ahmed Elgammal Dept of Computer Scence CS 534 Model Fttng - 1 Outlnes Model fttng s mportant Least-squares fttng Maxmum lkelhood estmaton MAP estmaton Robust
More informationSum of Linear and Fractional Multiobjective Programming Problem under Fuzzy Rules Constraints
Australan Journal of Basc and Appled Scences, 2(4): 1204-1208, 2008 ISSN 1991-8178 Sum of Lnear and Fractonal Multobjectve Programmng Problem under Fuzzy Rules Constrants 1 2 Sanjay Jan and Kalash Lachhwan
More informationDetection of an Object by using Principal Component Analysis
Detecton of an Object by usng Prncpal Component Analyss 1. G. Nagaven, 2. Dr. T. Sreenvasulu Reddy 1. M.Tech, Department of EEE, SVUCE, Trupath, Inda. 2. Assoc. Professor, Department of ECE, SVUCE, Trupath,
More informationVol. 5, No. 3 March 2014 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved.
Journal of Emergng Trends n Computng and Informaton Scences 009-03 CIS Journal. All rghts reserved. http://www.csjournal.org Unhealthy Detecton n Lvestock Texture Images usng Subsampled Contourlet Transform
More informationNovel Fuzzy logic Based Edge Detection Technique
Novel Fuzzy logc Based Edge Detecton Technque Aborsade, D.O Department of Electroncs Engneerng, adoke Akntola Unversty of Tech., Ogbomoso. Oyo-state. doaborsade@yahoo.com Abstract Ths paper s based on
More informationResearch Article High Capacity Reversible Watermarking for Audio by Histogram Shifting and Predicted Error Expansion
e Scentfc World Journal, Artcle ID 656251, 7 pages http://dx.do.org/1.1155/214/656251 Research Artcle Hgh Capacty Reversble Watermarkng for Audo by Hstogram Shftng and Predcted Error Expanson Fe Wang,
More informationLoad Balancing for Hex-Cell Interconnection Network
Int. J. Communcatons, Network and System Scences,,, - Publshed Onlne Aprl n ScRes. http://www.scrp.org/journal/jcns http://dx.do.org/./jcns.. Load Balancng for Hex-Cell Interconnecton Network Saher Manaseer,
More informationEfficient Segmentation and Classification of Remote Sensing Image Using Local Self Similarity
ISSN(Onlne): 2320-9801 ISSN (Prnt): 2320-9798 Internatonal Journal of Innovatve Research n Computer and Communcaton Engneerng (An ISO 3297: 2007 Certfed Organzaton) Vol.2, Specal Issue 1, March 2014 Proceedngs
More informationEYE CENTER LOCALIZATION ON A FACIAL IMAGE BASED ON MULTI-BLOCK LOCAL BINARY PATTERNS
P.G. Demdov Yaroslavl State Unversty Anatoly Ntn, Vladmr Khryashchev, Olga Stepanova, Igor Kostern EYE CENTER LOCALIZATION ON A FACIAL IMAGE BASED ON MULTI-BLOCK LOCAL BINARY PATTERNS Yaroslavl, 2015 Eye
More informationA Five-Point Subdivision Scheme with Two Parameters and a Four-Point Shape-Preserving Scheme
Mathematcal and Computatonal Applcatons Artcle A Fve-Pont Subdvson Scheme wth Two Parameters and a Four-Pont Shape-Preservng Scheme Jeqng Tan,2, Bo Wang, * and Jun Sh School of Mathematcs, Hefe Unversty
More informationQuerying by sketch geographical databases. Yu Han 1, a *
4th Internatonal Conference on Sensors, Measurement and Intellgent Materals (ICSMIM 2015) Queryng by sketch geographcal databases Yu Han 1, a * 1 Department of Basc Courses, Shenyang Insttute of Artllery,
More informationThe Comparison of Calibration Method of Binocular Stereo Vision System Ke Zhang a *, Zhao Gao b
3rd Internatonal Conference on Materal, Mechancal and Manufacturng Engneerng (IC3ME 2015) The Comparson of Calbraton Method of Bnocular Stereo Vson System Ke Zhang a *, Zhao Gao b College of Engneerng,
More informationStraight Line Detection Based on Particle Swarm Optimization
Sensors & ransducers 013 b IFSA http://www.sensorsportal.com Straght Lne Detecton Based on Partcle Swarm Optmzaton Shengzhou XU, Jun IE College of computer scence, South-Central Unverst for Natonaltes,
More informationEnhanced Watermarking Technique for Color Images using Visual Cryptography
Informaton Assurance and Securty Letters 1 (2010) 024-028 Enhanced Watermarkng Technque for Color Images usng Vsual Cryptography Enas F. Al rawashdeh 1, Rawan I.Zaghloul 2 1 Balqa Appled Unversty, MIS
More informationAlgorithm for Human Skin Detection Using Fuzzy Logic
Algorthm for Human Skn Detecton Usng Fuzzy Logc Mrtunjay Ra, R. K. Yadav, Gaurav Snha Department of Electroncs & Communcaton Engneerng JRE Group of Insttutons, Greater Noda, Inda er.mrtunjayra@gmal.com
More informationInvariant Shape Object Recognition Using B-Spline, Cardinal Spline, and Genetic Algorithm
Proceedngs of the 5th WSEAS Int. Conf. on Sgnal Processng, Robotcs and Automaton, Madrd, Span, February 5-7, 6 (pp4-45) Invarant Shape Obect Recognton Usng B-Splne, Cardnal Splne, and Genetc Algorthm PISIT
More informationAUTOMATIC RECOGNITION OF TRAFFIC SIGNS IN NATURAL SCENE IMAGE BASED ON CENTRAL PROJECTION TRANSFORMATION
AUTOMATIC RECOGNITION OF TRAFFIC SIGNS IN NATURAL SCENE IMAGE BASED ON CENTRAL PROJECTION TRANSFORMATION Ka Zhang a, Yehua Sheng a, Pefang Wang b, Ln Luo c, Chun Ye a, Zhjun Gong d a Key Laboratory of
More informationReal-time Motion Capture System Using One Video Camera Based on Color and Edge Distribution
Real-tme Moton Capture System Usng One Vdeo Camera Based on Color and Edge Dstrbuton YOSHIAKI AKAZAWA, YOSHIHIRO OKADA, AND KOICHI NIIJIMA Graduate School of Informaton Scence and Electrcal Engneerng,
More informationFace Recognition by Fusing Binary Edge Feature and Second-order Mutual Information
Face Recognton by Fusng Bnary Edge Feature and Second-order Mutual Informaton Jatao Song, Bejng Chen, We Wang, Xaobo Ren School of Electronc and Informaton Engneerng, Nngbo Unversty of Technology Nngbo,
More informationA NEW FUSION METHODOLOGY FOR EDGE DETECTION IN A COLOUR IMAGE
A NEW FUSION METHODOLOGY FOR EDGE DETECTION IN A COLOUR IMAGE M. Arf Laboratore d Informatque, Unversté Franços Rabelas 64, avenue Jean Portals, 37200 Tours, France Muhammad.arf@etu.unv-tours.fr T. Brouard
More informationOptimal Fuzzy Clustering in Overlapping Clusters
46 The Internatonal Arab Journal of Informaton Technology, Vol. 5, No. 4, October 008 Optmal Fuzzy Clusterng n Overlappng Clusters Ouafa Ammor, Abdelmoname Lachar, Khada Slaou 3, and Noureddne Ras Department
More informationPerformance Assessment and Fault Diagnosis for Hydraulic Pump Based on WPT and SOM
Performance Assessment and Fault Dagnoss for Hydraulc Pump Based on WPT and SOM Be Jkun, Lu Chen and Wang Zl PERFORMANCE ASSESSMENT AND FAULT DIAGNOSIS FOR HYDRAULIC PUMP BASED ON WPT AND SOM. Be Jkun,
More informationA Probabilistic Approach to Detect Urban Regions from Remotely Sensed Images Based on Combination of Local Features
A Probablstc Approach to Detect Urban Regons from Remotely Sensed Images Based on Combnaton of Local Features Berl Sırmaçek German Aerospace Center (DLR) Remote Sensng Technology Insttute Weßlng, 82234,
More informationResearch and Application of Fingerprint Recognition Based on MATLAB
Send Orders for Reprnts to reprnts@benthamscence.ae The Open Automaton and Control Systems Journal, 205, 7, 07-07 Open Access Research and Applcaton of Fngerprnt Recognton Based on MATLAB Nng Lu* Department
More information3D Virtual Eyeglass Frames Modeling from Multiple Camera Image Data Based on the GFFD Deformation Method
NICOGRAPH Internatonal 2012, pp. 114-119 3D Vrtual Eyeglass Frames Modelng from Multple Camera Image Data Based on the GFFD Deformaton Method Norak Tamura, Somsangouane Sngthemphone and Katsuhro Ktama
More informationBOOSTING CLASSIFICATION ACCURACY WITH SAMPLES CHOSEN FROM A VALIDATION SET
1 BOOSTING CLASSIFICATION ACCURACY WITH SAMPLES CHOSEN FROM A VALIDATION SET TZU-CHENG CHUANG School of Electrcal and Computer Engneerng, Purdue Unversty, West Lafayette, Indana 47907 SAUL B. GELFAND School
More informationModular PCA Face Recognition Based on Weighted Average
odern Appled Scence odular PCA Face Recognton Based on Weghted Average Chengmao Han (Correspondng author) Department of athematcs, Lny Normal Unversty Lny 76005, Chna E-mal: hanchengmao@163.com Abstract
More informationA Shadow Detection Method for Remote Sensing Images Using Affinity Propagation Algorithm
Proceedngs of the 009 IEEE Internatonal Conference on Systems, Man, and Cybernetcs San Antono, TX, USA - October 009 A Shadow Detecton Method for Remote Sensng Images Usng Affnty Propagaton Algorthm Huayng
More informationAn Approach in Coloring Semi-Regular Tilings on the Hyperbolic Plane
An Approach n Colorng Sem-Regular Tlngs on the Hyperbolc Plane Ma Louse Antonette N De Las Peñas, mlp@mathscmathadmueduph Glenn R Lago, glago@yahoocom Math Department, Ateneo de Manla Unversty, Loyola
More informationLearning a Class-Specific Dictionary for Facial Expression Recognition
BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 16, No 4 Sofa 016 Prnt ISSN: 1311-970; Onlne ISSN: 1314-4081 DOI: 10.1515/cat-016-0067 Learnng a Class-Specfc Dctonary for
More informationA Novel Image Matching Method Based on SIFT
Sensors & Transducers, Vol. 7, Issue 5, May 04, pp. 76-8 Sensors & Transducers 04 by IFSA Publshng, S. L. http://www.sensorsportal.com A Novel Image Matchng Method Based on SIFT Yuan-Sheng LIN, * Gang
More informationAnalysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD
Analyss on the Workspace of Sx-degrees-of-freedom Industral Robot Based on AutoCAD Jn-quan L 1, Ru Zhang 1,a, Fang Cu 1, Q Guan 1 and Yang Zhang 1 1 School of Automaton, Bejng Unversty of Posts and Telecommuncatons,
More informationFeature Kernel Functions: Improving SVMs Using High-level Knowledge
Feature Kernel Functons: Improvng SVMs Usng Hgh-level Knowledge Qang Sun, Gerald DeJong Department of Computer Scence, Unversty of Illnos at Urbana-Champagn qangsun@uuc.edu, dejong@cs.uuc.edu Abstract
More informationFingerprint Image Quality Fuzzy System
The Internatonal Arab Journal of Informaton Technology, Vol. 13, No. 1A, 2016 171 Fngerprnt Image Qualty Fuzzy System Abdelwahed Motwakel 1 and Adnan Shaout 2 1 Collage of Post Graduate Studes, Sudan Unversty
More informationData Hiding and Image Authentication for Color-Palette Images
Data Hdng and Image Authentcaton for Color-Palette Images Chh-Yang Yn ( 殷志揚 ) and Wen-Hsang Tsa ( 蔡文祥 ) Department of Computer & Informaton Scence Natonal Chao Tung Unversty 00 Ta Hsueh Rd., Hsnchu, Tawan
More informationFACIAL FEATURE EXTRACTION TECHNIQUES FOR FACE RECOGNITION
Journal of omputer Scence 10 (12): 2360-2365, 2014 ISSN: 1549-3636 2014 Rahb H. Abyev, hs open access artcle s dstrbuted under a reatve ommons Attrbuton (-BY) 3.0 lcense do:10.3844/jcssp.2014.2360.2365
More informationA Cluster Number Adaptive Fuzzy c-means Algorithm for Image Segmentation
, pp.9-204 http://dx.do.org/0.4257/jsp.203.6.5.7 A Cluster Number Adaptve Fuzzy c-means Algorthm for Image Segmentaton Shaopng Xu, Lngyan Hu, Xaohu Yang and Xaopng Lu,2 School of Informaton Engneerng,
More informationGender Classification using Interlaced Derivative Patterns
Gender Classfcaton usng Interlaced Dervatve Patterns Author Shobernejad, Ameneh, Gao, Yongsheng Publshed 2 Conference Ttle Proceedngs of the 2th Internatonal Conference on Pattern Recognton (ICPR 2) DOI
More informationBrushlet Features for Texture Image Retrieval
DICTA00: Dgtal Image Computng Technques and Applcatons, 1 January 00, Melbourne, Australa 1 Brushlet Features for Texture Image Retreval Chbao Chen and Kap Luk Chan Informaton System Research Lab, School
More informationA Lossless Watermarking Scheme for Halftone Image Authentication
IJCSNS Internatonal Journal of Computer Scence and Network Securty, VOL.6 No.2B, February 2006 147 A Lossless Watermarkng Scheme for Halftone Image Authentcaton Jeng-Shyang Pan, Hao Luo, and Zhe-Mng Lu,
More informationObject-Based Techniques for Image Retrieval
54 Zhang, Gao, & Luo Chapter VII Object-Based Technques for Image Retreval Y. J. Zhang, Tsnghua Unversty, Chna Y. Y. Gao, Tsnghua Unversty, Chna Y. Luo, Tsnghua Unversty, Chna ABSTRACT To overcome the
More informationProblem Definitions and Evaluation Criteria for Computational Expensive Optimization
Problem efntons and Evaluaton Crtera for Computatonal Expensve Optmzaton B. Lu 1, Q. Chen and Q. Zhang 3, J. J. Lang 4, P. N. Suganthan, B. Y. Qu 6 1 epartment of Computng, Glyndwr Unversty, UK Faclty
More informationThe Shortest Path of Touring Lines given in the Plane
Send Orders for Reprnts to reprnts@benthamscence.ae 262 The Open Cybernetcs & Systemcs Journal, 2015, 9, 262-267 The Shortest Path of Tourng Lnes gven n the Plane Open Access Ljuan Wang 1,2, Dandan He
More information