International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 3, No. 3, 8 Apr. 2011
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Implementing of microscopic images mosaic revising algorithm
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Author(s)
Haishun Wang
1,*
Rong Wang
2
Limin Chen
3
Index Terms
Image mosaic, microscopic image processing, remote diagnosis, image mosaic error revising
Abstract
Microscopic image mosaic stitches several adjacent images into an integrated seamless picture, and is of significant practical value to remote medicine applications, especially in remote diagnosis. However, due to limitation in image acquisition method, a mismatch could occur as a result of variance in adjacent image stitching data and accumulation of errors. The current image stitching method still has room for improvement regarding processing speed and effectiveness, particularly in precision. In this paper, we proposed a new image mosaic revising algorithms based on the relativity of adjacent images and expounding the principal and equations on image mosaic error revising, as well as achieving automatic intelligent calculation with the revised algorithm. Through experiment, inaccurate pathological mosaic images from 20 groups were revised rapidly and accurately with error controlled within one pixel. It was proved that the approach is effective in revising the error matching in microscopic images mosaic. Moreover, it is easy to operate and effective for more accurate image stitching.
Cite This Paper
Haishun Wang,Rong Wang,Limin Chen,"Implementing of microscopic images mosaic revising algorithm", IJIGSP, vol.3, no.3, pp.56-63, 2011. DOI: 10.5815/ijigsp.2011.03.08
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