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

被引：24

作者：

Li, Tian-gang ^{[1
]}

Wang, Su-pin ^{[1
]}

Zhao, Nan ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Life Sci & Technol, Educ Minist, Key Lab Biomed Informat Engn, Xian 710049, Peoples R China

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2009年 / 39卷 / 11期

基金：

美国国家科学基金会;

关键词：

Cell images; Morphology; Gray-scale; Edge detection; Structuring element;

D O I：

10.1016/j.compbiomed.2009.05.010

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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. (C) 2009 Published by Elsevier Ltd.

引用

页码：947 / 952

页数：6

共 11 条

[1] A methodology for evaluation of boundary detection algorithms on medical images [J].