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détection d objet paramètrage thresh = 500 Harris corner threshold nonmaxrad = 3 Non-maximal suppression radius dmax = 100 w = 11 Window size for correlation matching Extraire les points de Harris sur chaque image [cim] = harris( image2,1) imagesc(cim) [cim1] = harris(image1,1) imagesc(cim1) [r1,c1,v1] = find(image1) [cim2] = harris(image2, 1) imagesc(cim2) [r2,c2,v2] = find(image2) Apparier les points [m1,m2] = matchbycorrelation(image1, [r1 c1 ], image2, [r2 c2 ], w, dmax) Estimer la transformation dominante -détection d objet paramètrage thresh = 500 Harris corner threshold nonmaxrad = 3 Non-maximal suppression radius dmax = 100 w = 11 Window size for correlation matching Extraire les points de Harris sur chaque image [cim] = harris( image2,1) imagesc(cim) [cim1] = harris(image1,1) imagesc(cim1) [r1,c1,v1] = find(image1) [cim2] = harris(image2, 1) imagesc(cim2) [r2,c2,v2] = find(image2) Apparier les points [m1,m2] = matchbycorrelation(image1, [r1 c1 ], image2, [r2 c2 ], w, dmax) Estimer la transformation dominante
Date : 2025-07-06 Size : 1.07mb User : seb831

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关于数字图像处理中的ssda模板匹配方法。程序实现在指定图像中生成一个大小固定的矩形区域,然后用模板匹配法找出矩形位置。使用SSDA算法实现。包括源程序、待处理图像以及运行结果截图。-On digital image processing ssda template matching method. Procedures to achieve the specified image to generate a fixed size rectangular region, and then position the template matching method to find the rectangle. Using the SSDA algorithm. Including source code, pending results of the image and run shots.
Date : 2025-07-06 Size : 116kb User : 刘雨相
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