Unsupervised image segmentation by combining spatially adaptive color and texture features

Song Wang, Weihong Wang
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Abstract

We propose an image segmentation algorithm that is based on spatially adaptive color and texture features. The features are first developed independently, and then combined to obtain an overall segmentation. We combine a previously proposed adaptive clustering algorithm for color segmentation with a simple but effective texture segmentation approach to obtain an overall image segmentation. Our focus is in the domain of photographic images with an essentially unlimited range of topics. The images are assumed to be of relatively low resolution and may be degraded or compressed.
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结合空间自适应颜色和纹理特征的无监督图像分割
提出了一种基于空间自适应颜色和纹理特征的图像分割算法。这些特征首先是独立开发的,然后结合起来得到一个整体的分割。我们将先前提出的用于颜色分割的自适应聚类算法与一种简单而有效的纹理分割方法相结合,以获得整体图像分割。我们的重点是摄影图像领域,主题范围基本上是无限的。假设图像的分辨率相对较低,并且可能被降级或压缩。
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