The article plots gray and color difference curves based on mach band images . author introduces an algorithm of automatic threshold choice based on the curves in the wavelet edge detection . gray and color images are tested , and there is a good result 以此為基礎提出了小波邊緣檢測中的自動閾值選取算法,分別用灰度圖像和彩色圖像作實驗,實驗結果證明了這種算法具有較強的自適應性和較好的提取效果。
Algorithms of video segmentation that are good adaptive character and real time are crucial to the final mpeg 4 coding products there exist the contributions in this dissertation as follows obtaining the edge of video objects is crucial to the video segmentation , author researches the features of human being visual , especially giving a description of mach band that is usually used in the image processing , and builds a model of mathematics , researching the mach band of color image ( 1 )視頻分割的關鍵是獲得視頻對象的邊界,邊緣檢測很重要,本論文以人類的視覺系統的特性為出發點,對圖像處理中經常應用的馬赫帶現象進行了詳盡的分析并進行了數學建模,研究分析了彩色圖像的馬赫帶現象。在對馬赫帶圖像分析的基礎上,得出了人類視覺系統對圖像邊緣能識別的最小灰度差和彩色差曲線。