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(chǔ)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(shí)驗(yàn),實(shí)驗(yàn)結(jié)果證明了這種算法具有較強(qiáng)的自適應(yīng)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(guān)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(tǒng)的特性為出發(fā)點(diǎn),對圖像處理中經(jīng)常應(yīng)用的馬赫帶現(xiàn)象進(jìn)行了詳盡的分析并進(jìn)行了數(shù)學(xué)建模,研究分析了彩色圖像的馬赫帶現(xiàn)象。在對馬赫帶圖像分析的基礎(chǔ)上,得出了人類視覺系統(tǒng)對圖像邊緣能識別的最小灰度差和彩色差曲線。