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Vol. 161, Issue 12, December 2013, pp. 21-26

 

Bullet

 

New Weighted Mean Filtering Algorithm for Surface Image Based on Grey Entropy
 
Gang LI

School of Science, Hubei University of Technology, Wuhan, 430068, China
Tel.: +86-27-59750595
E-mail:87475853@qq.com

 

Received: 19 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: In the process of automatic detection for the road cracks, the traditional algorithms can not always get satisfactory results. This article applied the grey entropy of the grey system theory into the surface image preprocessing and segmentation, and offers a new more effective way for the road image denoising. With the presence of the noise in the surface image, we use the grey entropy value of each pixel in the neighborhood and their median value as the weight coefficient of each pixel, and find the weighted average value of the neighborhood window to replace the centre pixel of the neighborhood in order to achieve the noise filtering. Simulation results show that the method is superior to the traditional mean filtering, grey weighted average filter algorithm, and lay a good foundation for further processing of pavement crack.

 

Keywords: Image filtering, Grey entropy, Grey system theory

 

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