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-====== Vision ======
-===== Color Quantization =====
-== References ==
-  - [[http://www.cs.cmu.edu/~trb/papers/wirevision00.pdf|Fast Impl. RGB/YUV/HSV [EN] ]]
-=== RGB cone ===
-=== YUV polygon ===
-=== HSV rectangle ===
-=== Lab ===
-===== Image segmentation =====
-=== Floodfill ===
-== References ==
-  - [[http://www.cs.cmu.edu/~trb/papers/wirevision00.pdf|Fast Impl. [EN] ]]
-===Watershed===
-==References==
-  - [[http://cmm.ensmp.fr/~beucher/wtshed.html|Method [EN] ]]
-  - [[http://www.caip.rutgers.edu/~comanici/segm_images.html|Robust Impl. [EN] ]]
-===== Filters =====
-==References==
-  - [[http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip.html|Image Processing Fundamentals [EN] ]]
-====Anti-noise====
-(smoothing)
-==References==
-  - [[http://www.csse.monash.edu.au/hons/projects/2002/Alexander.Wolf/pictures.html|Definitions [EN] ]]
-  - [[http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-Smoothin.html|Definitions [EN] ]]
-===Median Filter===
-===Vector Median Filter===
-===Kuwahara filter===
-===Peer Group Filtering===
-==References==
-  - [[http://agni.ece.ucsb.edu/publications/99ISCAS.pdf|Definition [EN] ]]
-===Anisotropic Filtering===
-====Gradient====
-===Prewitt===
-==Objective==
-Basic kernels for 1st order gradient.
-==Quick Def==
-Horizontal kernel (transpose for vertical) :
-^-1^0^1^
-^-1^**0**^1^
-^-1^0^1^
-===Roberts===
-==Objective==
-==Quick Def==
-First kernel :
-^1^0^
-^0^-1^
-Second kernel :
-^0^1^
-^-1^0^
-Intensity :
-''I = sqrt(I1^2 + I2^2)''
-Direction :
-''theta = arctan(I2 / I1) + pi/4''
-===Sobel===
-==Objective==
-Most popular 1st order kernels
-==Quick Def==
-Horizontal kernel (transpose for vertical) :
-^-1^0^1^
-^-2^**0**^2^
-^-1^0^1^
-Intensity :
-''I = sqrt(Iv^2 + Ih^2)''
-Direction :
-''theta = arctan(Iv / Ih)''
-==Full Def==
-The filter can be seen as the convolution of two filters.
-Derivative :
-^-1^
-^0^
-^1^
-Smoothing :
-^1^2^1^
-===Scharr===
-==Objective==
-May give more accurate results than Sobel
-==Quick Def==
-Horizontal kernel (transpose for vertical) :
-^-3^0^3^
-^-10^**0**^10^
-^-3^0^3^
-===Laplace===
-==Objective==
-nd order kernel
-==Quick Def==
-Kernel :
-^0^1^0^
-^1^**-4**^1^
-^0^1^0^
-====Morphological====
-==References==
-  - [[http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-Morpholo.html|Definitions [EN] ]]
-===Dilation===
-//Dilatation//
-===Erosion===
-//Erosion//
-===Opening===
-//Ouverture//
-===Closing===
-//Fermeture//
-===== Edge detection =====
-====Canny detector====
-==Objective==
-Best theoritical edge detector.
-==Quick Def==
-Noise filtering, gradient with horizontal vertical and diagonal kernels, thresholding with hysteresis taking into account the direction of the gradient.
-===Canny-Deriche===