外文翻譯---圖像的邊緣檢測(已修改)
2025-01-29 23:24 本頁面
【正文】 附：英文資料翻譯圖像的邊緣檢測 To image edge examination algorithm research academic report AbstractDigital image processing took a relative quite young discipline, is following the puter technology rapid development, day by day obtains the widespread edge took the image one kind of basic characteristic, in the pattern recognition, the image division, the image intensification as well as the image pression and so on in the domain has a more widespread edge detection method many and varied, in which based on brightness algorithm, is studies the time to be most long, the theory develops the maturest method, it mainly is through some difference operator, calculates its gradient based on image brightness the change, thus examines the edge, mainly has Robert, Laplacian, Sobel, Canny, operators and so on LOG. First as a whole introduced digital image processing and the edge detection survey, has enumerated several kind of at present monly used edge detection technology and the algorithm, and selects two kinds to use Visual the C language programming realization, through withdraws the image result to two algorithms the parison, the research discusses their good and bad points.對圖像邊緣檢測算法的研究學術報告 摘 要數(shù)字圖像處理作為一門相對比較年輕的學科, 伴隨著計算機技術的飛速發(fā)展, 日益得到廣泛的 應用. 邊緣作為圖像的一種基本特征, 在圖像識別,圖像分割,圖像增強以及圖像壓縮等的領域中有 ,其中基于亮度的算法,是研究時間最久,理論發(fā)展最成熟的方法, 它主要是通過一些差分算子, 由圖像的亮度計算其梯度的變化, 從而檢測出邊緣, 主要有 Robert, Laplacian, Sobel, Canny, LOG 等算子. 首先從總體上介紹了數(shù)字圖像處理及邊緣提取的概況, 列舉了幾種目前常用的邊緣提取技術和 算法,并選取其中兩種使用 Visual C++語言編程實現(xiàn),通過對兩種算法所提取圖像結果的比較,研 究探討它們的優(yōu)缺點.First chapter introduction167。 image edge examination introduction The image edge is one of image most basic characteristics, often is carrying image majority of the edge exists in the image irregular structure and in not the steady phenomenon, also namely exists in the signal point of discontinuity place, these spots have given the image outline position, these outlines are frequently we when the imagery processing needs the extremely important some representative condition, this needs us to examine and to withdraw its edge to an image. But the edge examination algorithm is in the imagery processing ques
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