Title :
Texture Image Analysis of Metallography: Automatic Estimating Grade of Spherular Pearlite Using Dempster-Shafer Theory
Author :
Tian, Pei ; Zhang, Qiang ; Zhang, Shu-yong
Author_Institution :
Sch. of Control Sci. & Eng., North China Electr. Power Univ., Baoding
Abstract :
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
Keywords :
feature extraction; image enhancement; image segmentation; image texture; mathematical morphology; metallography; steel; uncertainty handling; Dempster-Shafer evidence theory; automatic estimation grade; discernment frame segmentation; feature extraction; image enhancement; metallography; spherular pearlite; texture image analysis; Automatic control; Bayesian methods; Cybernetics; Entropy; Estimation theory; Feature extraction; Fractals; Image enhancement; Image segmentation; Image texture analysis; Machine learning; Power engineering and energy; Power generation; Steel; Dempster-Shafer; feature extraction; information fusion; metallography; pearlite;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259129
