為了解決多尺度邊緣檢測中有效檢出和精確定位的矛盾，本文提出了一種新的模糊多尺度邊緣檢測算法。該算法以圖像的小波分解為基礎，把圖像的多尺度信息描述為模糊矩陣，然后利用模糊集的并－交運算進行信息的合成，最后通過λ截矩陣完成邊緣圖像的獲取。通過與經典算法的比較，實驗結果證明了該算法的可行性和有效性。
關鍵詞邊緣檢測；小波；模糊；λ截矩陣
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 matrix, 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.
Keywords: edge detection; wavelet; fuzzy; λ-matrix