Analysis of Edge Detection Techniques for Complex Background Images

This paper presents a review on different colour based edge detection techniques. Edge detection has found to be most important step in many critical vision applications. It actually results in the black and white (binary) image where each object is differentiate by lines (either black or white). Edges are basically the area in the image where sharp changes exist. It has been found that the most of the existing techniques has neglected the use of colours while detecting the edges but in many applications a region can be categorised based on the colour. This paper has shown that the most of the existing techniques fails in case of images with complex background.