Microstructure Detection by Advanced Image Processing

作     者：Taguchi, Motoki Hirokawa, Shogo Yasuda, Itaru Tokuda, Kohei Adachi, Yoshitaka 

作者机构：Kagoshima Univ Grad Sch Sci & Engn Korimoto 1-21-24 Kagoshima 8900065 Japan 

出 版 物：《TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN》 (Tetsu To Hagane)

年 卷 期：2017年第103卷第3期

页      面：142-148页

核心收录：

主　　题：advanced image processing genetic programming microstructure detection trainable segmentation 

摘      要：Two kinds of advanced image processing were applied to multi-phase microstructures. One is evolutional image processing where optimized filter set was suggested by genetic programing. Another is trainable WEKA segmentation where features are extracted by many kinds of filters, followed by machine learning for classification. Once an optimized filter set is determined, efficiency of image processing for new data set is improved remarkably in comparison with a case of manual image processing.