Automatic Image Segmentation Colors by neocognitron neural network

This paper contain algorithm of a neocognitron neural network that has been trained to recognize segmentation of Image from color image. Corners and Edge contour extraction are segmentation by models of complex and end-stopped cells. Detection of corners and local edge maxima is performed by selection of local maxima in both edge and corner sub image. The advantage of the proposed model over other models is that the same low constant thresholds for corner and local edge maxima detection for each color are used for different images. A neocognitron neural network prove success 100% for each sub image segment color.The system can segments the image in any number of parts choices and process with 16 x 16 or 24 x 24 bits for each process we can used any types of image with any size.