An Automatic Image Segmentation Technique Based on Pseudo-convex Hull

Abstract

This paper describes a novel method for image segmentation where image contains a dominant object. The method is applicable to a large class of images including noisy and poor quality images. It is fully automatic and has low computational cost. It may be noted that the proposed segmentation technique may not produce optimal result in some cases but it gives reasonably good result for almost all images of a large class. Hence, the method is found very useful for the applications where accuracy of the segmentation is not very critical, e.g., for global shape feature extraction, second generation coding etc.