Abstract The backgrounds can not be updated effectively by color difference histogram based video segmentation algorithm as major illumination changes. Therefore,the subsequent foreground can not be segmented from input images effectively. For the problem stated above,a video segmentation algorithm based on homomorphic filtering inhibiting illumination changes is proposed. Firstly,homomorphic filtering is used to rectify luminance component about both input and background images (RGB) in HSV space with the same parameters. Then,the rectified images are converted into RGB color space. Finally,the color difference histogram algorithm is used to segment the video. The proposed algorithm effectively solves the problem that the color difference histogram algorithm can not update the areas,in which illumination changes are large,into background. Hence,the proposed algorithm updates background in time and effectively and segments foreground robustly from subsequent input images. The simulation results of three sequences demonstrate that the proposed algorithm has a faster calculation speed and deals with illumination changes more robustly compared with Guassian mixture and Codebook algorithm.
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2013, Vol. 26 
