An Adaptive Edge Detection for Mycosis

Edge is an important feature of an image and provides important image information that can be used for image interpretation. Many techniques of edge detection have been developed. This paper proposes an adaptive edge detection to accurately detect the most affected part of Mycosis Fungoides skin disease image. In this paper, this new method overcomes some common disadvantages of some traditional existing edge detection operators by properly detecting the boundary region of most affected part of skin disease. This proposed method compared with existing edge detection operators.