TEXTURE IMAGE ANALYSIS OF METALLOGRAPHY: AUTOMATIC ESTIMATING GRADE OF SPHERULAR PEARLITE USING DEMPSTER-SHAFER THEORY

摘要：

An algorithm based on Dempster-Shafer evidence theory with discernment frame segmentation is proposed for texture image analysis, which applies to automatic gradation of spherular pearlite about 15CrMo. Image enhancement, segmentation and feature extraction is implemented first to form the feature space, which includes the fractal dimension,energy and entropy. The feature information is fused using the proposed algorithm. The experiment demonstrates that the algorithm applied to the case with both high accuracy and efficiency.

关键词： Dempster-Shafer feature extraction information fusion metallography pearlite

作者: PEI TIAN QIANG ZHANG SHU-YONG ZHANG

作者单位: School of Control Science &Engineering, Noth China Electric Power University, Baoding 071003, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1985-1990

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）