Image match the corresponding MATLAB programming
2016-08-23
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Image matching can be divided into gray based matching and feature-based matching. The basic idea of gray level matching is to regard the image as a two-dimensional signal from the point of view of statistics, and use the method of statistical correlation to find the correlation matching between signals. By using the correlation function of two signals, the similarity between them is evaluated to determine the point with the same name. Gray level matching uses some similarity measures, such as correlation function, covariance function, sum of squares of difference, sum of absolute values of difference, to determine the corresponding relationship between two images. Feature matching is an algorithm that extracts two or more image features (point, line, surface and so on), describes the features with parameters, and then uses the described parameters to match. This code contains the following two gray image matching algorithms: ① gray based template matching algorithm; ② fast gray based matching algorithm.
matlab
图像
相应
程序设计
匹配
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