Mutual information and interaction-based medical image splicing method
A medical image and mutual information technology, applied in the field of medical image stitching, can solve the problems of unavailable panoramic images, low reliability, and large errors, and achieve the effect of convenient stitching process, meeting the needs of doctors, and strong robustness
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[0063] In order to make the effect of the method more obvious, this embodiment selects two medical images with displacement deviations in the horizontal and vertical directions for splicing (such as Figure 5 As shown, height=width=2021), the main direction is horizontal splicing. The contrast of these two images is relatively appropriate, and there is no obvious noise, so the preprocessing link is omitted.
[0064] The registration in the horizontal direction is performed first. First select the initial region pair in the source image I1 and the target image I2, start to calculate the mutual information, and then follow the direction of the arrow, each time the width of the region increases by +2 (note that the two areas of the region pair are always The same), add one time to calculate the mutual information, and repeat until the end of the search is reached (the program defaults to search to 1 / 4 width, and the doctor can set it by himself after starting the interactive fun...
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