Color segmentation using multi layer neural network and the HSV color space

This paper presents the results of studying color segmentation using machine learning algorithm and color space analysis. RGB (red, green, blue) color space data points from an image are projected into HSV (hue, saturation, value) color space to provide data points that are insensitive to the variations of illumination in outdoor environment. Multi layer neural network trained using backpropagation algorithm is used to segment the color image. The results show that the algorithm is able to segment the images reliably with less appearance of small blobs. This will help improve the accuracy and minimize the processing time of the subsequent processes in the robot vision system where real-time issue is of important.