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Automatic Image Segmentation Method Based on Graph Cuts |
GUO Bao-Long, HOU Ye |
Institute of ICIE, School of Electronical Mechanical Engineering, Xidian University, Xian 710071 |
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Abstract Aiming at graph cuts majoring in interactive image segmentation, an automatic image segmentation method based on graph cuts is proposed. It can be used in both segmenting color images and segmenting gray images. In this method, the data item and the smooth item of the energy function are established after initialization. The energy function is solved by graph cuts. The series of steps are implemented iteratively until certain condition is met. The method does not need to make any constraints, build image model or estimate data distribution. It obtains good segmentation result rapidly. Gray images and color images are segmented by experiments. The experimental results show that the proposed approach is favorable.
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Received: 26 September 2010
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