Research of Postprocessing Algorithm after Fabric Defect Image Segmentation Based on Downsampling

Abstract:

This paper research the algorithm after image segmentation based on using downsampling to preprocess the image and Otsu to segment the image, because defect region is weakened in the process of preprocessing to remove the texture, which lead to the defect region in the binary image can not reflect the original defect information. In view of this shortcoming, this paper put forward a new method to link the different connected regions which belong to a defect region and the new method solve the problem of weakening the defect region in the process of preprocessing, and then the integral information of defect region can be obtained. At last, the experiments’ results prove the validity of the arithmetic in this paper.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 128-132
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.128
• Online since: January 2012
• Authors: Pan Feng Guo, Yi Hong Wang
• Keywords: Connected Regions, Downsampling, Image Segmentation, Texture

References

[1] Bu Honggang, Huang Xiubao. Recent progress of computer-vision-based fabric defects detection,. Journal of DongHua University, vol. 32, pp.129-131, Jun (2006).

[2] Zhang Lingmin. Fabric defect detection method and its software design based on DM642 image processing system,. Beijing, Beijing Clothing Institute, (2008).

[3] Wang Sen, Yang Kejian. An image scaling algorithm based on bilinear interpolation with VC++,. Computer Application, vol. 27, pp.44-46, (2008).

[4] Wang qian, Peng zhong. An adaptive method of image segmentation,. Transaction of Beijing Institute of Technology, vol. 23, pp.522-523, Aug (2003).

[5] Wang Ai ling, Ye Ming sheng, Matlab R2007 Iamge Processing Technoloby and Application, Beijing, PHEI, (2007).