Application Research of Image Matching Based on Morphology Description Matrix and Genetic algorithm

被引：0
|
作者：
Yang, Wenli [1 ]
Zeng, Zhiyuan [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Digital Engn & Simulat Res Ctr, Wuhan 430074, Peoples R China
来源：
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL I | 2009年
关键词：
image matching; morphology description matrix; genetic algorithm; template; global optimization;
D O I：
10.1109/CINC.2009.93
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an image matching algorithm based on morphology description matrix and genetic algorithm is proposed to improve matching efficiency. For the non-ergodic search characteristic of genetic algorithm is utilized, the global optimization is improved rapidly. Moreover, a shape matching algorithm based on the similarity of morphology description matrix is used in this paper. The calculation of matching search is reduced and the accuracy of matching results are improved by using the similarity of morphology description matrix as the fitness function of genetic algorithm. Experimental results show that the new algorithm can satisfy the real-time and accuracy requirement for practical application.
引用
收藏
页码：159 / 161
页数：3
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