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<records>
<record>
<title>A Matlab method to fit an image with polygons using genetic algorithm</title>
<authors>
<author>WenJun Zhang</author>
</authors>
<affiliations>
<affiliation>
School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; International Academy of Ecology and
 Environmental Sciences, Hong Kong
</affiliation>
</affiliations>
<journal>Selforganizology</journal>
<issn>ISSN 2410-0080</issn>
<homepage>http://www.iaees.org/publications/journals/selforganizology/online-version.asp</homepage>
<year>2021</year>
<volume>8</volume>
<issue>1-2</issue>
<startpage>1</startpage>
<endpage>6</endpage>
<publisher>International Academy of Ecology and Environmental Sciences</publisher>
<location>Hong Kong</location>
<date>
<received>25 December 2020</received>
<accepted>28 January 2021</accepted>
<published>1 June 2021</published>
</date>
<keywords>
<keyword>Matlab</keyword>
<keyword>genetic algorithm</keyword>
<keyword>image fitting</keyword>
<keyword>polygons</keyword>
</keywords>
<abstract>
Genetic algorithms are a kind of algorithms to simulate genetic evolution, which belong to the subject of selforganizology. They have been used in function optimization, automatic control, robotics, and image processing, etc. In this article, a Matlab algorithm of the genetic algorithm to fit the given image with polygons is presented. Full codes are given for further use.
</abstract>
<url>http://www.iaees.org/publications/journals/selforganizology/articles/2021-8(1-2)/Matlab-method-to-fit-image-with-polygons-using-genetic-algorithm.pdf</url>
</record>
</records>
</xml>
