Research on Image Distortion Correction Method Based on BP Neural Networks

doi:10.3969/j.issn.1006-2475.2009.12.025

Computer and Modernization ›› 2009, Vol. 1 ›› Issue (12): 92-94.doi: 10.3969/j.issn.1006-2475.2009.12.025

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Research on Image Distortion Correction Method Based on BP Neural Networks

ZUO Xin¹, ZHONG Cheng², XU Dan¹

1. School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China;2. Zhenjiang Watercraft College, Zhenjiang 212003, China

Received:2009-07-15 Revised:1900-01-01 Online:2009-11-27 Published:2009-11-27

Abstract

Abstract: Due to the shortcomings of traditional methods, such as building model difficultly, the paper uses the distortion correction method based on neural networks. Firstly, it introduces the clonal selection algorithm of immunology into quantum genetic algorithm, then proposes a method which combines the HQGA and BP algorithm to supplement mutually as neural networks study algorithm applied in distorted image correction. The experiment results show that this method has high accuracy.

Key words: BP neural network, distorted image, distortion correction, quantum genetic algorithm, clonal selection

CLC Number:

TP391

ZUO Xin;ZHONG Cheng;XU Dan. Research on Image Distortion Correction Method Based on BP Neural Networks[J]. Computer and Modernization, 2009, 1(12): 92-94.

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Research on Image Distortion Correction Method Based on BP Neural Networks

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