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aco-v1.1

于 2015-04-01 发布 文件大小:37KB
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代码说明:

  采用蚁群优化算法的轮廓匹配,输入可以是二值轮廓或者是任意的二维点集(This MATLAB implementation computes a correspondence between two shapes based on ant colony optimization (ACO). The input shapes can be either two 2D contours (open or closed) or two arbitrary sets of 2D points. The algorithm is described in detail in:)

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    优化算法配套的程序代码,可直接运行,资料很全(Optimization matching code can be run directly, the information is all)
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    该算法是通过计算图像功率谱大小来评价图像的清晰度。清晰的图像功率谱大于模糊图像的功率谱。(The algorithm is derived by calculating the size of the image power spectrum to evaluate the clarity of the image. Clear image power spectrum is greater than the power spectrum of blurred image.)
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