NDLI: Method of extracting image geometric primitives based on immune algorithm

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Method of extracting image geometric primitives based on immune algorithm

Content Provider	IEEE Xplore Digital Library
Author	Zhi Jun Liu Jian-yong Fu Cheng-qun
Copyright Year	2009
Description	Author affiliation: Engineering Institute of Engineering Corps, PLA University of Science and Technology, Nanjing, Zhenjiang, China (Zhi Jun; Liu Jian-yong; Fu Cheng-qun)
Abstract	The paper draws lessons from the ripe tolerance course and clone selection course of immune cell and introduces immune algorithm (IA) to the problem of extracting geometric primitives. It makes a detailed instruction of the method implementation based on IA which takes ellipse extraction as an example. The compared experiment and analyses with RHT and SGA algorithm proves that the method has quick convergent speed and strong anti-interference ability when there are more noises. The ellipse extraction of the image shows the extensive suitability and practical value of the algorithm.
Starting Page	1
Ending Page	5
File Size	476793
Page Count	5
File Format	PDF
ISBN	9781424438662
DOI	10.1109/BICTA.2009.5338128
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Geometry Image coding Image converters Cloning Programmable logic arrays Educational institutions Paper technology Data mining Immune system
Content Type	Text
Resource Type	Article

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