Image mosaic has widely applications value in the fields of medical image analysis, and it is a technology that carries on
the spatial matching to a series of image which are overlapped with each other, and finally builds a seamless and high
quality image which has high resolution and big eyeshot. In this paper, the method of grayscale cutting pseudo-color
enhancement was firstly used to complete the mapping transformation from gray to the pseudo-color, and to extract SIFT
features from the images. And then by making use of a similar measure of NCC (normalized cross correlation -
Normalized cross-correlation), the method of RANSAC (Random Sample Consensus) was used to exclude the pseudofeature
points right in order to complete the exact match of feature points. Finally, seamless mosaic and color fusion
were completed by using wavelet multi-decomposition. The experiment shows that the method we used can effectively
improve the precision and automation of the medical image mosaic, and provide an effective technical approach for
automatic medical image mosaic.
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