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An Extraction Method of Glomerulus Region from Renal Tissue Image  

Kim, Eung-Kyeu (한밭대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.13, no.2, 2012 , pp. 70-76 More about this Journal
Abstract
In this paper, an automatic extraction method of glomerulus region from human renal tissue image is presented. The important information reflecting the state of kidneys richly included in the glomeruli, so it should be the first step to extract the glomerulus region from the renal tissue image for the further quantitative analysis of the renal condition. Especially, there is no clear difference between the glomerulus and other tissues, so the glomerulus region can not be easily extracted from its background by the existing segmentation methods. The outer edge of a glomerulus region is regarded as a common property for the regions of this kind ; a two- dimensional Gaussian distribution is used to convolve with an original image first and then the image is thresholded at this blurred image ; a closed curve corresponding to the outer edge can be obtained by usual pattern processing skills like thinning, branch-cutting, hole-filling etc., Finally, the glomerulus region can be obtained by extracting the area in the original image surrounded by the closed curve. The glomerulus regions are correctly extracted by 85 percentages and experimental results show the proposed method is effective.
Keywords
Renal image; Renal Glomerulus; Dynamic thresholding; Image processing; Image segmentation;
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