期刊名称：International Journal of Advanced Computer Research
印刷版ISSN：2249-7277
电子版ISSN：2277-7970
出版年度：2012
卷号：2
期号：5
页码：55-60
出版社：Association of Computer Communication Education for National Triumph (ACCENT)
摘要：Image classification is vital field of research in computer vision. Increasing rate of multimedia data, remote sensing and web photo gallery need a category of different image for the proper retrieval of user. Various researchers apply different approach for image classification such as segmentation, clustering and some machine learning approach for the classification of image. Content of image such as color, texture and shape and size plays an important role in semantic image classification. but the proper selection of feature are challenging task of classification, so various authors apply some machine learning approach for image classification such as decision tree, RBF network, Markova model and support vector machine. In this paper we review of machine learning approach for image classification.
关键词：Image classification; Support Vector Machine; Feature Extraction; Machine Learning.
