Segmentation of Casting Defects in X-Ray Images Based on Fractal Dimension
Considering defect segmentation is the most important and hardest issue for various defects recognition and classification in the X-ray image, a segmentation algorithm based on fractal dimension which is calculated by differential box-counting is investigated to locate defects in the gray-level images. The results indicate that fractal dimension can be a good alternative in defect-segmentation. Some comparative experiments are done and the results demonstrate that the algorithm is simple, and adapt to precisely segmenting casting defects in X-ray images.
Casting Defects X-Ray Fractal Dimension NDT
Jue WANG Xiaoqin HOU Yufang CAI
ICT Research Center, Chongqing University, Chongqing 400030, China
国际会议
第十七届世界无损检测会议(17th World Conference on Nondestructive Testing)
上海
英文
209-215
2008-10-25（万方平台首次上网日期，不代表论文的发表时间）