Edge detection method based on Interval type-2 fuzzy systems for color images

In order to improve the efficiency of color edge detection, a novel color image edge detection method based on Interval type-2 fuzzy system (IT2FSs) is presented in this paper. In the proposed method, the morphological gradient filter is used on the original images first. After that the IT2FSs edge detector is applied in each channel of the RGB color space. 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 the edge detection algorithms based on type-1 fuzzy systems (T1FSs). The results of our technique based on IT2FSs are observed to be better and more noise-robust than the T1FSs edge detector.