Research on Destriping Based on Rough Set

Xiangyang Chen, Liping Chen, Sile Wang, Wenzhu Yang, Sukui Lu

School of Computer Science and Technology, Hebei University, Baoding, China.

DOI: 10.4236/jcc.2015.311002                

Abstract

In order to remove the stripe noises in cotton foreign fiber images by line scanning camera collected, in multi threshold segmentation of rough set, every region’s color is instead of the statistics color of the region. This method can retain the detail information of original image as far as possible, and do well in the stripe noise removal. The roughness of rough set was calculated respectively using directional diagram, Canny operator and Sobel operator. Comparing the three methods, the results indicate that the Canny operator keeps the more details of image, and directional diagram and Sobel operator have the better effects on denoising.

Keywords

Stripe Noises, Multi Threshold Segmentation, Rough Set, Denosing

Conflicts of Interest

The authors declare no conflicts of interest.

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