数据采集与处理2017，Vol.32Issue(3)：621-628,8.DOI:10.16337/j.1004-9037.2017.03.022
抗噪的多尺度形态学边缘检测算法
Multi-scale Morphology Algorithm for Image Edge Detection with Noise Resistance
摘要
Abstract
To reinforce the noise resistance capability of image edge detection algorithm better and refine edge information detection,a multi-scale morphology algorithm for image edge detection with noise resistance is proposed.Moreover,wavelet transform method is utilized to replace the commonly used weighted mean method and the edge images are obtained by each scale fused.The low frequency and high frequency coefficients of the wavelet decomposition are adopted respectively by different fusion strategies.Thus the edge details are effectively preserved.The fused image is clear and has rich details.Anti-noise detection algorithm is used to detect the edge of image using different scales of structuring elements.Hence,the algorithm becomes robust to the noise.The simulation result shows that the proposed algorithm can effectively reduce the influence of noise on detection results obtaining the ideal edge image.关键词
边缘检测/形态学/多尺度/抗噪声/小波融合Key words
edge detection/morphology/multi-scale/noise resistance/wavelet fusion分类
信息技术与安全科学引用本文复制引用
刘黎辉,张剑,谭芳芳,李巍..抗噪的多尺度形态学边缘检测算法[J].数据采集与处理,2017,32(3):621-628,8.基金项目
国家自然科学基金面上(51374107,51275169)资助项目 （51374107,51275169）
湖南省教育厅重点科研(15A066)资助项目 （15A066）
湖南省研究生科研创新(CX2015B486)资助项目. （CX2015B486）
