计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 242-246.doi: 10.11896/j.issn.1002-137X.2016.11A.056
胡玉平,肖行,罗东俊
HU Yu-ping, XIAO Hang and LUO Dong-jun
摘要: 为了消除服装图像背景的影响,针对目前的GrabCut算法存在对图像局部像素值的变化敏感、时间开销大、边缘不准确等问题,提出了改进的GrabCut算法。在改进算法中,通过对梯度图像使用多尺度分水岭去噪增强了图像的边缘信息,减少了后续处理的计算量;通过采取熵惩罚因子最优能量函数减少了检索图像的有效信息丢失。将改进后的GrabCut算法引入基于内容的服装图像检索系统中,实验结果表明与同类方法相比,所提方法在检索显示准确性以及检索的平均查准率和查全率方面均有明显的提升。
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