Application Research on the analysis of Biological detection image segmentation using PDE

被引：0

作者：

Wang Baozhen ^{[1
]}

Chen Min ^{[1
]}

机构：

[1] Huanghuai Univ, Dept Math, Zhumadian 463000, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING | 2015年 / 124卷

关键词：

Partial differential equation; biological detection; image segmentation; application model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Partial differential equation(PDE) plays an important role in the field of image segmentation in biological detection. According to the analysis of some problems existing in the process of current biological detection image segmentation, this research set up a kind of image analysis and processing of biological detection algorithm based on PDE. Through the analysis of PDE in image processing and application situation of development methods, this study constructed a biological detection image segmentation application model based on PDE. The results show that the PDE is a mathematical operation as the foundation, and with an open framework for development mode. PDE is a biological detection very effective image segmentation analysis tool that can solve the image topology in biology of high complexity and noise problems.

引用

页码：1051 / 1055

页数：5