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.
 Lagha, M., Tikhemirine, M. and Bergheul, S. (2013) De-Noised Estimation of the Weather Doppler Spectrum by the Wavelet Method. Digital Signal Processing, 23, 322-328. http://dx.doi.org/10.1016/j.dsp.2012.08.001
 Houda, B., Rachid, S. and Ludovic, J. (2015) Comparison of Leaf Surface Roughness Analysis Methods by sensitivity to Noise Analysis. Biosystems Engineering, 136, 77-86. http://dx.doi.org/10.1016/j.biosystemseng.2015.04.012
 Anis, F.M.R., Hishammuddin, A. and Rohayanti, H. (2015) A Low Lighting or Contrast Ratio Visible Iris Recognition Using Iso-Contrast Limited Adaptive Histogram Equalization. Knowledge-Based Systems, 74, 40-48. http://dx.doi.org/10.1016/j.knosys.2014.11.002
 Wang, S., Zhu, Q.X. and Zhu, W. (2014) Graph and Matrix Approaches to Rough Sets through Matroids. Information Sciences, 288, 1-11. http://dx.doi.org/10.1016/j.ins.2014.07.023