Change Detection of Medical Images for Three Dimensional Volumetric Data

Abstract

Recently, background modeling and sparse representation methods have been used successfully in video surveillance [14,16]. In Ref [13] background subtracted images are recovered using compressive sensing (CS). Work of Ref [17] proposed the use of principle component pursuit method to detect foreground changes in video surveillance. The work is based on low-rank and sparse decomposition of image matrices. Robust principal component analysis has applications in