期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：64
期号：3
出版社：Journal of Theoretical and Applied
摘要：Change detection refers to recognizing dissimilarities arising in the characteristics of an object, over a period of time. Widespread application of change detection in areas like remote sensing, machine vision, video compression, military reconnaissance, etc. has made it demanding area of research. In image processing, detecting changes is an essential and crucial component. Several techniques like image differencing, principal component analysis, object based methods, visual analysis, etc. have been applied successfully and some new techniques like clustering, probabilistic change detection, hyperspectral detection, etc. are currently under active research. This paper analyses various traditional and emerging techniques that efficiently detect changes in different kinds of images and explores the suitability of each method for respective areas.
