A false matching removal method based on superpixel motion statistics
A super-pixel, mismatching technology, applied in computing, image analysis, image data processing and other directions, can solve problems such as inaccuracy and statistical errors, achieve strong robustness, accurate screening results, and solve the problem of false matching elimination.
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[0041] An embodiment of the present invention provides a method for removing false matches based on superpixel motion statistics, which mainly consists of four parts: initial matching of features, superpixel segmentation of images, establishment of superpixel statistical models, and retention of correct matches .
[0042] The embodiment of the present invention adopts the region division method of superpixel segmentation, assigns the initial feature matching to different superpixels, converts the smoothness constraints of local matching into consistency statistics of superpixel motion, and establishes a statistical model of superpixel motion. The automatic selection of registration feature points of non-rigid deformed images is realized through this statistical model. Such as figure 1 As shown, the specific steps and principles are as follows:
[0043] 101: Perform feature extraction, description and matching on two images to be matched;
[0044] This step 101 is specifical...
Embodiment 2
[0070] The scheme in embodiment 1 is described in further detail below in conjunction with specific examples, see the following description for details:
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