Third International Conference on Digital Image Processing (ICDIP 2011) 2011
DOI: 10.1117/12.896124
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Approach of microscopic images mosaic revising based on adjacent image

Abstract: Image mosaic splices several adjacent overlapped images into an integrated seamless picture which could be significant in medical image processing. However, because of image acquisition, a mismatch could occur as a result of adjacent image stitching data and cumulative errors. The current method which is effective in certain ways still has room for improvement regarding processing speed and effectiveness, particularly in accuracy. This paper proposed a new image mosaic revising algorithms based on the relativi… Show more

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“…The grayscale-based registration method is used to select a template in a fixed window from the reference image, search from the image to be registered, and use some evaluation method as the registration measurement to find the optimal registration position. The main stitching algorithms include the crosscorrelation method, mutual information method, block matching method, ratio matching method, and grid matching method [18][19][20][21]. The mosaic method based on the transform domain is used to carry out some transformation on the image.…”
Section: Introductionmentioning
confidence: 99%
“…The grayscale-based registration method is used to select a template in a fixed window from the reference image, search from the image to be registered, and use some evaluation method as the registration measurement to find the optimal registration position. The main stitching algorithms include the crosscorrelation method, mutual information method, block matching method, ratio matching method, and grid matching method [18][19][20][21]. The mosaic method based on the transform domain is used to carry out some transformation on the image.…”
Section: Introductionmentioning
confidence: 99%