Abstract：A near infrared dorsal hand vein image segmentation algorithm is proposed based on function optimization about entropy and gradient in local regions of interest. The noise is removed by applying compressed sensing theory in vein image firstly. Then, the Bandelet transform is used to extract the regions of interest including vein information, and the established function about entropy and gradient is constrained and optimized in these regions so that the vein information and the background can be separated. Finally, the segmentation results in all the regions of interest are fused, and the whole vein image segmentation process is accomplished. The experimental results show that the proposed algorithm makes the acquired segmentation image reserve better vein features than other segmentation algorithms. In addition, the proposed algorithm has good reference value in the segmentation of finger vein and palm vein images with texture features.
贾旭，崔建江，薛定宇，潘峰. 基于感兴趣区域函数优化的静脉图像分割算法[J]. 模式识别与人工智能, 2012, 25(3): 475-480.
JIA Xu, CUI Jian-Jiang, XUE Ding-Yu, PAN Feng. Vein Image Segmentation Algorithm Based on Function Optimization in Regions of Interest. , 2012, 25(3): 475-480.
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2012, Vol. 25 
