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| - | ====== Vision ====== | ||
| - | |||
| - | ===== Color Quantization ===== | ||
| - | =References= | ||
| - | - [[http:// | ||
| - | |||
| - | ==RGB cone== | ||
| - | ==YUV polygon== | ||
| - | ==HSV rectangle== | ||
| - | ==Lab== | ||
| - | |||
| - | |||
| - | ===== Image segmentation ===== | ||
| - | |||
| - | ===Floodfill=== | ||
| - | =References= | ||
| - | - [[http:// | ||
| - | ===Watershed=== | ||
| - | =References= | ||
| - | - [[http:// | ||
| - | - [[http:// | ||
| - | |||
| - | ===== Filters ===== | ||
| - | =References= | ||
| - | - [[http:// | ||
| - | |||
| - | ====Anti-noise==== | ||
| - | (smoothing) | ||
| - | =References= | ||
| - | - [[http:// | ||
| - | - [[http:// | ||
| - | | ||
| - | ==Median Filter== | ||
| - | ==Vector Median Filter== | ||
| - | ==Kuwahara filter== | ||
| - | ==Peer Group Filtering== | ||
| - | =References= | ||
| - | - [[http:// | ||
| - | ==Anisotropic Filtering== | ||
| - | |||
| - | ====Gradient==== | ||
| - | |||
| - | ==Prewitt== | ||
| - | =Objective= | ||
| - | Basic kernels for 1st order gradient. | ||
| - | =Quick Def= | ||
| - | Horizontal kernel : | ||
| - | ^-1^0^1^ | ||
| - | ^-1^**0**^1^ | ||
| - | ^-1^0^1^ | ||
| - | Vertical kernel : | ||
| - | ^-1^-1^-1^ | ||
| - | ^0^**0**^0^ | ||
| - | ^1^1^1^ | ||
| - | |||
| - | |||
| - | ==Roberts== | ||
| - | =Objective= | ||
| - | |||
| - | =Quick Def= | ||
| - | First kernel : | ||
| - | ^1^0^ | ||
| - | ^0^-1^ | ||
| - | Second kernel : | ||
| - | ^0^1^ | ||
| - | ^-1^0^ | ||
| - | Intensity : | ||
| - | '' | ||
| - | Direction : | ||
| - | '' | ||
| - | |||
| - | ==Sobel== | ||
| - | =Objective= | ||
| - | Most popular 1st order kernels | ||
| - | =Quick Def= | ||
| - | Horizontal kernel : | ||
| - | ^-1^0^1^ | ||
| - | ^-2^**0**^2^ | ||
| - | ^-1^0^1^ | ||
| - | Vertical kernel : | ||
| - | ^-1^-2^-1^ | ||
| - | ^0^**0**^0^ | ||
| - | ^1^2^1^ | ||
| - | Intensity : | ||
| - | '' | ||
| - | Direction : | ||
| - | '' | ||
| - | =Full Def= | ||
| - | The filter can be seen as the convolution of two filters. | ||
| - | Derivative : | ||
| - | ^-1^ | ||
| - | ^0^ | ||
| - | ^1^ | ||
| - | Smoothing : | ||
| - | ^1^2^1^ | ||
| - | |||
| - | ==Laplace== | ||
| - | =Objective= | ||
| - | 2nd order kernel | ||
| - | =Quick Def= | ||
| - | Kernel : | ||
| - | ^0^1^0^ | ||
| - | ^1^**-4**^1^ | ||
| - | ^0^1^0^ | ||
| - | |||
| - | ==Scharr== | ||
| - | |||
| - | ====morphological==== | ||
| - | =References= | ||
| - | - [[http:// | ||
| - | ==Dilation== | ||
| - | // | ||
| - | ==Erosion== | ||
| - | //Erosion// | ||
| - | ==Opening== | ||
| - | // | ||
| - | ==Closing== | ||
| - | // | ||
| - | |||
| - | ===== 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== | ||
