The Image Edge Detection Algorithm based on Wavelet Denoising and Mathematics Morphology

摘要：

A new edge detection method based on the wavelet denoising and the mathematic morphology transform is presented in this paper. Firstly, the improved wavelet semisoft threshold method is used to suppress noise of image, where the algorithm of Bayes threshold is adopted to calculate the value of threshold. Secondly, A multi-scale and multi-structural elements morphological edge detection algorithms with entropy weights is presented and compared with two more popular morphological edge detection algorithms from three aspects (run times, SNR, precision). Finally, the comprehensive experiment shows that the improved edge detection based on the morphological transformation can get the more satisfactory results.

关键词： Edge detection:Wavelet denoising Semisoft thresholding:Bayesian threshold Mathematic morphology

作者: Panchao Wu Zongyi Wang

作者单位: College of Automation Harbin Engineering University Harbin 150001 China

会议类型: 国际会议

会议名称: The 3rd International Symposium on Systems and Control in Aeronautics and Astronautics(第三届航空航天系统与控制国际会议 ISSCAA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 995-1000

在线出版日期: 2010-01-08（万方平台首次上网日期，不代表论文的发表时间）