Fuzzy Edge Detection Based on Pixel's Gradient and Standard Deviation Values
This paper presents a new fuzzy based edge detection algorithm. Each different edge detection method has its own advantages and disadvantages. For example, each method detects part of real edges and also some unreal edges. To reduce this effect, the authors have used two different source of information and a fuzzy system to decide about whether each pixel is edge or not. First both gradient and standard deviation values are computed, form two set of edges, utilized as inputs for their fuzzy system. Then fuzzy system decides on each pixel according to fuzzy rules. Finally, they have compared results of the proposed algorithm with other algorithms such as Sobel, Robert, and Prewitt.