PINK image processing library
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1 PINK image processing library M. Couprie Université Paris-Est - LIGM-A3SI - ESIEE, France 27/06/2012 M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
2 History Started as a personnal project (15 years ago) Inspired by Khoros/Cantata (Pink Is Not Khoros!) Demand-driven development M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
3 Users/public ESIEE students PhD students Researchers in LIGM/ESIEE Academic partners (INSERM, Hôpital Henri Mondor, ICMCB, CSIRO...) Industrial partners (CEA, SANOFI, Saint Gobain, EDF, Lafarge SA...) M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
4 Goals Fast/easy development Easy handling for students Up-to-date algorithms in our expertise field Supporting our applicative/collaborative projects M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
5 Authors Many contributors, including ESIEE students and PhD students, the main developpers are: Michel Couprie Jean Cousty Laszlo Marak Laurent Najman Hugues Talbot M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
6 Distribution, license, support CeCILL license web site: pinkhq.com source code available from Mercurial repository Linux distributions OSX Microsoft Windows Doxygen generated documentation, mailing list, bug tracker M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
7 Web site (created and maintained by L. Marak) M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
8 Implementation Core library in standard C language C++ for some operators and wrappers Scripts in bash, TCL Python front end Python-TK GUI Python-VTK for 3D visualization M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
9 Content > 200 operators - main modules: Mathematical morphology (45) Digital connectivity (41) Digital topology, binary (48) Digital topology, grayscale (33) Orders topology (27) Geometrical operators (68) M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
10 Content Mathematical morphology Basics: erode, dilate, open, close... Binary and grayscale, 2D and 3D Arbitrary structuring elements Higher level operators (alternate sequential filter...) Distance maps, medial axis, morphological skeletons M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
11 Content Digital connectivity Component labelling, geodesic operators Watershed transformations (2D, 3D, 4D) Connective filtering, component tree building/manipulation M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
12 Content Digital topology Topology-preserving thinning (2D, 3D) Proven topology-related properties (Gilles Bertrand) Constrained/guided topological transformations Sequential, parallel transformations Detection of local topological features Controlled modifications of topology (3D hole closing...) M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
13 Content Grayscale digital topology Binary digital topology is generalized to grayscale images by considering the level sets of the image: Functions F and G are homotopic if F k and G k are homotopic (in the binary sense), for all k Grayscale thinning, skeletons Topological filtering Crest restoration... M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
14 Content Orders topology Cubical(/simplicial) complexes (points, edges, squares, cubes...) Sound and rich framework for topology in discrete spaces Models and extends digital topology Easier handling of some topogical notions (dimension...) New results, algorithms, properties... M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
15 Content Geometrical operators Shape analysis (measurements, moments...) Discrete/continuous conversions (splines...) Geometric primitives detection (lines/planes, circles, ellipses...) M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
16 Illustrations Python script for a segmentation scheme def FindTheWires(image, threshold): binary = pink.threshold(image, threshold, 0, 255) inv = pink.inverse(binary) eros = pink.erosball(inv, 2) filtered = pink.geodilat(eros, inv, 8) filled = fill the holes(filtered) open = pink.openball(filled, 6) joints = pink.geodilat(open, filled, 8, 1) result = filled - joints return result M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
17 Illustrations Python script for interactive manipulation of parameter Im = pink.cpp.readimage( circuit2.pgm ) def binarise(value) global Im return pink.threshold(im, value) pink.manipulate(binarise, 0, 255) M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
18 Illustrations 3D visualisation with Python-VTK M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
19 Examples of projects Analysis of biomedical images - computer aided diagnosis Collaboration with INSERM M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
20 Examples of projects Analysis of fibrous material from 3D microtomography images Collaboration with Lafarge SA, ICMCB and ITASCA M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
21 Examples of projects 4D segmentation of the beating heart Collaboration with Henri Mondor Hospital M. Couprie (UPE, LIGM, ESIEE) Présentation IPOL /06/ / 21
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