【摘要】 为了解决多尺度边缘检测中有效检出和精确定位的矛盾,本文提出了一种新的模糊多尺度边缘检测算法。该算法以图像的小波分解为基础,把图像的多尺度信息描述为模糊矩阵,然后利用模糊集的并-交运算进行信息的合成,最后通过λ截矩阵完成边缘图像的获取。通过与经典算法的比较,实验结果证明了该算法的可行性和有效性。更多还原

【Abstract】 In order to solve the conflict between effective detection and precise location, a new fuzzy multiscale edge detection algorithm of image is presented in this paper. Based on the dyadic wavelet transform, multiscale information of image is represented as fuzzy ma- trix, and is synthesized by the fuzzy set operations union and intersection. At last, the result of edge detection can be acquired by λ- matrix. Comparing with several traditional algorithms, the experiment results prove the feasibility and effectiveness of our algorithm.更多还原