Image Edge Detection of Medical Cell Based on Morphology

被引：2

作者：

Wang Ying-Li ^{[1
]}

Pan Yan-Yan ^{[1
]}

Yu Xin-Lu ^{[2
]}

机构：

[1] Harbin Univ Sci & Technol, Harbin, Peoples R China

[2] Harbin Fourth Hosp, Harbin, Peoples R China

来源：

2018 EIGHTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2018) | 2018年

关键词：

digital morphology; edge detection; feature extraction; structural element;

D O I：

10.1109/IMCCC.2018.00283

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Doctors use electronic diagnostics to analyze cancer cells. However, The shape and size of cancer cells are small, and doctors can't accurately analyze cancer cells, leading to misdiagnosis of doctors. In order to solve this problem, we can use multi-scale morphological algorithm to extract tumor cells accurately. In this paper, Top-hat operator is used to enhance the image edge extraction. The edge image is obtained with high degree of closure, you can accurately calculate the cell parameters. This experiments show that the operator not only can filter out the noise, but also maintain the details of the image. This algorithm can highlight edge contours and extract image detail information, which is more effective than traditional morphology

引用

页码：1368 / 1372

页数：5