Automatic Segmentation of Pores in Weld Images Based on Transition Region Extraction

Abstract:

In allusion to the complex images of weld defects, weak contrast between the target and the background, a new segmentation method based on gray level difference transition region extraction is proposed. The paper analyzes the characteristic of weld defects, and then low-pass filtering and contrast enhanced are used to enhance the clarity. Finally, we extract the transition region and confirm a threshold for defects segmentation. The experimental results show that the method can extract the transition region more accurate, and segment the image much better in complex environment.

• Periodical: Applied Mechanics and Materials (Volumes 217-219)
• Pages: 1964-1967
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.217-219.1964
• Online since: November 2012
• Authors: Tong Tong, Yan Cai, Da Wei Sun, Peng Liu
• Keywords: Contrast Highlighting, Defect Segmentation, Thresholding, Transition Region

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