Improved MSER image matching algorithm
An image matching algorithm and MSER technology, applied in the field of computer vision, can solve the problem of insufficient robustness of radiation transformation, save running time, meet the requirements of image matching accuracy, and achieve the effect of good robustness
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[0053] Now in conjunction with the accompanying drawings, the present invention will be described in detail. This embodiment is an image matching algorithm based on improved MSER, which includes the following steps:
[0054] The first step is to extract the MSER features of the two images respectively;
[0055] Maximally Stable External Region, referred to as MSER, the MSER detector has the best performance in most cases in many affine invariant feature regions. The MSER is a region of extreme density with respect to its surroundings. The basic idea is: for any grayscale image, select all possible thresholds 0-255 from small to large. Set the pixels smaller than the threshold in the image to 0, and the pixels larger than the threshold to 1, so 256 binary images are obtained. For each image, there will be many connected regions. MSER is the threshold value in these regions. Vary the area whose area changes by less than a certain value.
[0056] 1.1. Value area extraction
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