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Proceedings Paper

Research of x-ray automatic image mosaic method
Author(s): Bin Liu; Shunan Chen; Lianpeng Guo; Wanpeng Xu
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Paper Abstract

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.

Paper Details

Date Published: 27 October 2013
PDF: 7 pages
Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 89200M (27 October 2013); doi: 10.1117/12.2029040
Show Author Affiliations
Bin Liu, The Academy of Equipment (China)
Shunan Chen, Tianjin Univ. (China)
Lianpeng Guo, The Academy of Equipment (China)
Wanpeng Xu, The Academy of Equipment (China)


Published in SPIE Proceedings Vol. 8920:
MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing
Jianguo Liu, Editor(s)

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