Gray-scale edge detection for gastric tumor pathologic cell images by morphological analysis

Authors:
Tian-gang Li;Su-pin Wang;Nan Zhao
Affiliations:
The Key Laboratory of Biomedical Information Engineering of Education Ministry, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China;The Key Laboratory of Biomedical Information Engineering of Education Ministry, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China;The Key Laboratory of Biomedical Information Engineering of Education Ministry, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
Venue:
Computers in Biology and Medicine
Year:
2009

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Abstract

For the purpose of analyzing gastric tumor pathologic cell images, a novel method is developed with gray-scale edge detection of mathematical morphology in this study. In combination with texture features of the image under investigation, this paper works on edge detection with various structuring elements (SEs) and gray-scale values. The results of the experiment are presented, and we found several advantages by using the morphological edge detection scheme for the analysis of gastric tumor pathologic cell images. Meanwhile, the results of the binary morphological edge detection are given for comparison.