Restoration of Medical Image Distortion Based on Improved Genetic Algorithm in Matlab Environment

Ming Zhu Lu; Si Xiang Zhang; Ping Hu; Hai Yi Sun

doi:10.4028/www.scientific.net/AMR.538-541.2097

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 538-541Restoration of Medical Image Distortion Based on...

Restoration of Medical Image Distortion Based on Improved Genetic Algorithm in Matlab Environment

Abstract:

In the process of imaging, transmission and recording, there would be some decline in the quality of medical image typically displayed as fuzzy image, distorition, noise, and so on. To remedy the defects of traditional genetic algorithm of image restoration, the image restoration method was presented based on coding design, species initialization, genetic operator and update mechanism. The simulation experiment on image distortion caused by motion was also carried out in MATLAB 7.0 environment.

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Periodical:

Advanced Materials Research (Volumes 538-541)

Pages:

2097-2101

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.538-541.2097

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Online since:

June 2012

Authors:

Ming Zhu Lu, Si Xiang Zhang, Ping Hu, Hai Yi Sun

Keywords:

Genetic Algorithm (GA), Image Distortion, Image Processing, Image Restoration, MATLAB, Medical Image

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