基于并行遗传算法的红外图像增强及相关技术

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The infrared image enhancement and the correlative technique based on the parallel genetic algorithm

GUO Run-qiu;LI Jun-feng;LIN Xiao-chun

(1. School of Mechano-electronic Engineering, Xidian Univ., Xi'an 710071, China;
2. School of Technical Physics, Xidian Univ., Xi'an 710071, China)

Received:1900-01-01 Revised:1900-01-01 Online:2004-02-20 Published:2004-02-20

Abstract

Abstract: A new method for infrared image enhancement using the improved genetic algorithm is proposed. First the relation between gray levels for the input and output images is coded, and then the most effective relation of the effect is searched for by using a certain evaluation standard for the image quality. In order to improve the efficiency of the genetic algorithm, a calculation model based on the multi-threadlike parallel genetic algorithm is designed. The results of a large number of he simulation experiments show that the algorithm has good feasibility and effectiveness.

Key words: infrared image, image enhancement, genetic algorithm, parallel genetic algorithm, multithread

CLC Number:

TP391

GUO Run-qiu;LI Jun-feng;LIN Xiao-chun.

The infrared image enhancement and the correlative technique based on the parallel genetic algorithm

[J].J4, 2004, 31(1): 6-8.

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The infrared image enhancement and the correlative technique based on the parallel genetic algorithm

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