外文翻譯---圖像的邊緣檢測-文庫吧資料
2024-09-04 17:10本頁面
【正文】 me derivative separately. To an edge, has the possibility simultaneously to have the step and the line edge characteristic. For example on a surface, changes from a plane to the normal direction different another plane can produce the step edge。而當(dāng)尺度增大時,圖像的 細(xì)節(jié)將被濾掉,我們可以將此粗輪廓稱為 ,這將對目標(biāo)分割,識別等后 ,以上方法都是基于圖像的亮度信息來作的工作. 在眾多科研工作者的努力下,由于圖像邊緣受到光照等物理條件的 影響比較大, 往往使得以上諸多基于亮度的邊緣提取方法有著一個共同的缺點, 那就是邊緣不連續(xù), 不封閉. 考慮到相位信息在圖像中的重要性以及其穩(wěn)定的特點, 使得利用相位信息進(jìn)行圖像處理成 為新的研究課題. 在本文中即將介紹一種基于相位的圖像特征檢測方法——相位一致性方法. 它并不是利用圖像 的亮度信息,而是其相位特點, 測到階躍特征, 線特征等亮度特征, 而且能夠檢測到由于人類視覺感知特性而產(chǎn)生的的馬赫帶現(xiàn)象. 由于相位一致性不需要對圖像的特征類型進(jìn)行任何假設(shè),所以它具有很強(qiáng)的通用性.167。 圖像邊緣檢測概論圖像邊緣是圖像最基本的特征之一, 往往攜帶著一幅圖像的大部分信息. 而邊緣存在于圖像的 不規(guī)則結(jié)構(gòu)和不平穩(wěn)現(xiàn)象中,也即存在于信號的突變點處,這些點給出了圖像輪廓的位置,這些輪 廓常常是我們在圖像處理時所需要的非常重要的一些特征條件, 這就需要我們對一幅圖像檢測并提 取出它的邊緣. 而邊緣檢測算法則是圖像處理問題中經(jīng)典技術(shù)難題之一, 它的解決對于我們進(jìn)行高 層次的特征描述, 識別和理解等有著重大的影響。 Also because the edge examination all has in many aspects the extremely important use value, therefore how the people are devoting continuously in study and solve the structure to leave have the good nature and the good effect edge examination operator the usual situation, we may the signal in singular point and the point of discontinuity thought is in the image peripheral point, its nearby gradation change situation may reflect from its neighboring picture element gradation distribution gradient. According to this characteristic, we proposed many kinds of edge examination operator: If Robert operator, Sobel operator, Prewitt operator, Laplace operator and so methods many are wait for the processing picture element to carry on the gradation analysis for the central neighborhood achievement the foundation, realized and has already obtained the good processing effect to the image edge extraction. . But this kind of method simultaneously also exists has the edge picture element width, the noise jamming is serious and so on the shortings, even if uses some auxiliary methods to perform the denoising, also corresponding can bring the flaw which the edge fuzzy and so on overes with with the wavelet analysis appearance, its good time frequency partial characteristic by the widespread application in the imagery processing and in the pattern recog
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