Automatic extraction of region of interest from images with low depth of field

摘要

In this paper, we propose a new segmentation algorithm for separate focused foreground region from defocused background region with low depth of field image. This algorithm first computes the blur parameter each of pixel. Then, these parameter values are clustered to blurry regions and sharp regions using belief propagation algorithm. Experimental results show that this approach also can separate the focused image from defocused image.