计算机应用与软件2024，Vol.41Issue(4)：200-204,5.DOI:10.3969/j.issn.1000-386x.2024.04.030
基于分形特征和阈值分析的图像边缘检测
IMAGE EDGE DETECTION BASED ON FRACTAL FEATURE AND THRESHOLD ANALYSIS
摘要
Abstract
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.关键词
边缘检测/分形特征/毯覆盖法/阈值分析/双阈值Key words
Edge detection/Fractal feature/Blanket covering method/Threshold analysis/Double threshold分类
信息技术与安全科学引用本文复制引用
罗洪平,马洪兵,王宏伟..基于分形特征和阈值分析的图像边缘检测[J].计算机应用与软件,2024,41(4):200-204,5.基金项目
上海航天科技创新基金项目(SAST2019-048) （SAST2019-048）
自治区研究生科研创新项目(XJ2020G058). （XJ2020G058）
