Color image edge detection method based on interval type-2 fuzzy systems

Abstract

Edge detection is one of the most commonly used operations in computer vision, image processing and pattern recognition. The efficiency of these applications depends in many cases on the quality of detected edges. A color image edge detection method based on Sobel and Interval type-2 fuzzy system IT2FSs is presented in this paper. Color images provide more information than grayscale images. Thus, more edge information is expected from a color edge detector than a grayscale edge detector. The proposed method is applied over a database of color images that include synthetic and real images. The performance of the proposed method is compared with other edge detection algorithms such as Sobel combined with type-1 fuzzy systems T1FSs and the traditional Sobel operator.