文章基本信息

标题：Principal Component Analysis combined with First Order Statistical Method for Breast Thermal Images Classification
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作者：Oky Dwi Nurhayati ; Dr. Adhi Susanto ; Dr. Thomas Sri Widodo 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：2(Version 1)
出版社：Ayushmaan Technologies
摘要：This paper is aimed to report the experiment in revealing the classification of randomized thermograms tabulated by the first order statistics method including the mean values, skewness values, entropy values, kurtosis values, and variance values with the thermal camera of Fluke as a tool for capturing images, after the mathematical method of measurement. Five statistical features combined with principal component analysis (PCA) have been applied in this research to classify the types of thermograms after the image preprocessing. The results show that the method is quite promising to distinguish the thermal images.
关键词：thermal images; image preprocessing; first order statistics method;principal component analysis.