Images are represented by variable precision rough sets in this paper. A kind of rough entropy measure is
proposed for thresholding images. In order to improve the efficiency of solving the maximum rough entropy, an image
segmentation algorithm combining genetic algorithm with variable precision rough sets is designed to extract object by
adjusting accuracy. Experimental results show that the proposed algorithm is more effective and flexible.