Image matching method based on random sampling hash representation
A technology of random sampling and matching method, applied in the field of information retrieval, can solve the problem of poor coding effect, etc., and achieve the effect of high accuracy and good effect.
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[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0033] figure 1 is the flow chart of the image matching method based on random sampling binary representation of the present invention, such as figure 1 As shown, the method includes the following steps:
[0034] Step 1, form n images into an original data set, and extract the visual features of all images to represent the corresponding images, the visual features form a feature space, the scale of the original data set is n, and the features of the feature space The total dimension is d;
[0035] Wherein, the visual feature may be: a color histogram, a SIFT feature, and a GIST feature.
[0036] Step 2, randomly select m images from the original data set as training samples to form a sample space, wherein m is much sma...
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