Estimation of homogeneous regions for segmentation of textured images
Estimation of homogeneous regions for segmentation of textured images
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DOI：
10.1109/icpr.2000.903731
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发表时间：
2000-09
期刊：
影响因子：
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通讯作者：
Toshio Uchiyama;N. Mukawa;H. Kaneko
中科院分区：
文献类型：
--
作者：
Toshio Uchiyama;N. Mukawa;H. Kaneko
本文提出了一种新的纹理图像无监督分割方法。纹理被建模为像素之间的空间相互作用。因此，需要一定的窗口大小来提取纹理特征并通过使用特征来估计纹理边界。只要窗口的大小在整个图像上是固定的，我们就不能准确地估计具有相似属性的纹理区域。本文通过假设和检验，研究了均匀纹理区域估计窗口大小的选择问题。对合成图像和自然图像的纹理分割实验表明了该方法的有效性。
In this paper a novel method for the unsupervised segmentation of textured images is presented. Textures are modeled as spatial interactions between pixels. Thus, a certain window size is required to extract texture features and to estimate texture boundaries by using the features. As long as the size of the window is fixed over the whole of an image, we cannot accurately estimates texture regions that have similar properties. In this paper the problem of selection of an appropriate size for window used to estimate homogeneous texture regions is investigated via hypothesis and testing. Experiments on segmentation of textures in synthetic and natural images show the effectiveness of the method.