基于多尺度梯度雪橇的图像分割

Guo Li, Gao Liqun, Pian Zhao-yu, Wang Kun
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引用次数: 10

摘要

雪橇是一种重要的图像分割工具,而基于雪橇的图像分割性能在很大程度上与梯度图像无关。提出了一种图像分割方法,即雪橇分割法。采用多尺度形态梯度运算计算梯度图像。在雪橇分割后,采用区域合并的方法。根据区域面积和区域均匀性进行区域合并。实验证明,该方法是有效的,比其他常用的图像分割算法更准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Segmentation Using Multiscale Gradient Toboggan
Toboggan is an important tool on image segmentation, and the performance of image segmentation based on toboggan mostly independent on the gradient image. A method of image segmentation was presented, which is toboggan segmentation. The gradient image is computed by using the multi-scale morphological gradient operation. The approach of region merging is used after toboggan segmentation. Region merging was carried out according to region area and region homogeneity. It was proved that the method was valid and more accurate than other common algorithms of image segmentation.
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