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基于结构张量和Wasserstein距离的纹理图像分割

DOI: 10.11834/jig.20100911

Keywords: 水平集方法,结构张量,Wasserstein距离,灰度直方图,纹理图像分割

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Abstract:

基于区域的非参数活动轮廓模型被广泛地应用于图像分割领域。在结构张量和图像灰度直方图基础上建立的新模型就属于这个范畴,它被用于灰度和彩色纹理图像的分割。首先,对经典的结构张量进行扩展,使其能表达原始纹理图像的梯度信息和色彩信息。利用扩展的结构张量,使一幅图像生成多个特征通道,从而提取更多的纹理特征。然后,在各个通道中,利用像素点的局部灰度直方图的Wasserstein距离信息分割图像,使图像不同分割区域的灰度分布近似同态。最后,为了有效地降低模型的数值计算复杂度,一些数值计算技巧被引入模型的计算过程,产生了很好的效果。通过大量的实验对比,利用新模型能得到更精确、更稳定的分割结果。

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