IMAGE EDGE DETECTION BASED ON FRACTAL FEATURE AND THRESHOLD ANALYSIS
Traditional edge detection algorithms are sensitive to noise and have many false edges.This paper proposes an image edge detection method based on fractal features and threshold analysis.The improved blanket coverage algorithm was used to calculate the fractal features of the image,and the gray distribution of the image was mapped to the fractal dimension space.The threshold analysis was carried out according to the extracted fractal feature image to obtain the high and low thresholds.All the pixel values were divided into three categories:non-edge,weak-edge,and strong-edge,and the weak edge pixels were further judged.Compared with other algorithms,the experimental results show that the proposed algorithm can detect the image edge completely with the least false edge and noise.
国家科技期刊平台
NSTL
万方数据
维普
