Image Segmentation Using Genetic Algorithm and OTSU

被引：6

作者：

Pruthi, Jyotika ^{[1
]}

Gupta, Gaurav ^{[2
]}

机构：

[1] Northcap Univ, Dept Comp Sci, Gurgaon, India

[2] Northcap Univ, Dept Appl Sci, Gurgaon, India

来源：

PROCEEDINGS OF FIFTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2015), VOL 2 | 2016年 / 437卷

关键词：

Metaheuristic; Genetic algorithm; OTSU; Non linear optimization;

D O I：

10.1007/978-981-10-0451-3_43

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Image Segmentation exists as a challenge that aims to extract the information from the image, making it simpler to analyze. There are some major issues associated with the conventional segmentation approaches. To come up with an improvised solution, image segmentation can be modeled as a nonlinear optimization problem which is also very difficult to be solved as global optimization. So to deal with this problem, we present metaheuristic algorithm namely Genetic Algorithm and its combination with OTSU giving the better results. These results have been analyzed with the help of parameters namely Threshold values, CPU Time and Region Non Uniformity.

引用

页码：473 / 480

页数：8

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