Comparative Analysis of Color Edge Detection Techniques Based on Fuzzy Logic

Edge is the important feature of image. The image edges contain rich knowledge which is very important for finding characteristic of image by object recognition. It is the commonly used technique in image processing.This paper shows a fuzzy rule based algorithm that is capable of finding edges effectively from grey scale images. This paper presents that kind of operators in computer vision applications. The gradient and standard deviation is used as input for fuzzy system. The algorithm in which fusion of hue component and principal component are implemented and then the results are compared with modified fuzzy based algorithm.