文章基本信息

标题：Segmenting Metals in Optical Microstructure Images using Haar Features
本地全文：下载
作者：K. Gajalakshmi ; S. Palanivel ; S.Saravanan 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：9
页码：15553
DOI：10.15680/IJIRCCE.2017.0509076
出版社：S&S Publications
摘要：In this study, segmentation of layers in the optical microstructure of an explosive clad, based on theirtexture is attempted. 300 numbers of two and three layer clad microstructures, stored in a database, are classified bymeans of segmentation by extracting Haar features and their mean. The experimental results show that the Haarfeatures successfully segment the multilayer clad microstructure with an accuracy of 96.7%, determined by theperformance accuracy technique.
关键词：microstructure; Segmentation; Haar features; Accuracy