计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 269-272.doi: 10.11896/j.issn.1002-137X.2017.11A.057
王怡,徐文迪,余慧斌,郑河荣,潘翔
WANG Yi, XU Wen-di, YU Hui-bin, ZHENG He-rong and PAN Xiang
摘要： 针对背景区域干扰导致无法准确计算共同对象相似性的问题,提出利用图像显著性和SIFT流对齐算法改进图像协同分割质量。该算法首先计算图像显著性特征,然后 通过SIFT流 与交互式分割结果进行对齐和匹配,从而通过显著性与匹配结果得到像素标签的可能性,最后采用最小割理论进行分割边界优化。实验结果表明,与已有的协同分割算法相比,该算法能够提高分割质量。
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