A Dual Threshold Calculating Method for Fibers Edge Eztraction
In the fiber cross-sectional image analysis system, correctly detecting fibers edge is critical for fiber geometric feature extraction and further fiber identification. In this paper, a dual threshold calculating method is proposed to obtain accurate and continuous fiber edge, as well as to control the image noise. After eliminating the non-uniform illumination in the fiber image, the low threshold is calculated based on the statistics histogram of the standard deviation of pixels gray level in the image. And then the high threshold is computed by bisection algorithm combined with the low threshold. After tracing and denoising algorithm, the fiber wall that can correctly describe fibers contour is detected. The pseudo edges and dual edges detected by traditional algorithms are eliminated, and image noise is well reduced. The experimental result shows that the proposed dual threshold selection algorithm is simple, convenient and efficient to extract fiber edge from fiber cross-sectional image.
fiber recognition edge detection fiber wall thresholding
Yan Wan Li Yao Bugao Xu
School of Computer Science Donghua University Shanghai,P.R.C.200051 Department of Human Ecology University of Texas at Austin Austin,TX,U.S.78712
国际会议
上海
英文
2776-2783
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）