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39 % Convolution (weighted sum or average) is just one specific type of
141 % user) and converts it into a Morphology/Convolution Kernel. This allows
143 % specify their own kernel for a specific Convolution or Morphology
210 % o kernel_string: the Morphology/Convolution kernel wanted.
583 % Convolution Kernels
649 % Named Constant Convolution Kernels
671 % Sobel 'Edge' convolution kernel (3x3)
677 % Roberts convolution kernel (3x3)
683 % Prewitt Edge convolution kernel (3x3)
689 % Prewitt's "Compass" convolution kernel (3x3)
695 % Kirsch's "Compass" convolution kernel (3x3)
978 case LaplacianKernel: /* Named Descrete Convolution Kernels */
1035 Convolution Kernels
1335 Convolution Kernels - Well Known Named Constant Kernels
2215 % o kernel: the Morphology/Convolution kernel to be cloned
2262 % DestroyKernelInfo() frees the memory used by a Convolution/Morphology
2271 % o kernel: the Morphology/Convolution kernel to be destroyed
2309 % o kernel: the Morphology/Convolution kernel
2384 % o kernel: the Morphology/Convolution kernel
2468 % o kernel: the Morphology/Convolution kernel to modify
2557 % o bias: Convolution Output Bias.
2915 the kernel, and thus 'lower-level' that Convolution. However as
2916 Convolution is the more common method used, and it does not
2918 kernel, so it is Convolution that is implemented.
2923 For more details of Correlation vs Convolution see
2924 http://www.cs.umd.edu/~djacobs/CMSC426/Convolution.pdf
3875 /* A Correlation is a Convolution with a reflected kernel.
3876 ** However a Convolution is a weighted sum using a reflected
3878 ** Convolution as the Correlation is the simplier method, but
3879 ** Convolution is much more commonly used, and it makes sense to
4087 % * Output Bias for Convolution and correlation ("-define convolve:bias=??")
4235 % o kernel: the Morphology/Convolution kernel
4443 % o kernel: the Morphology/Convolution kernel to modify
4544 % o kernel: the Morphology/Convolution kernel
4598 /* convolution output range */
4641 % o kernel: the Morphology/Convolution kernel
4702 % UnityAddKernelInfo() Adds a given amount of the 'Unity' Convolution Kernel
4704 % amount of the original image into the resulting convolution kernel. This
4717 % o kernel: the Morphology/Convolution kernel
4752 % be used in special hardware (GPU) convolution processors, to simply
4761 % o kernel: the Morphology/Convolution kernel