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Extraction of Perceptual Hue Feature Set for Color Image/Video Segmentation

机译:用于彩色图像/视频分割的感知色调特征的提取

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In this paper, we present a simple but effective algorithm for the extraction of perceptual hue feature set used in color image/video segmentation with emphasis on color textures. Feature extraction, with significant impact on the overall image/video analysis process, plays a critical role in classification-based segmentation. Color textures are accurately characterized by the newly introduced feature set with invariance to illumination, translation, and rotation, which is contributed by the statistical scheme in exploring the distribution of six rudimentary colors and the achromatic component at local positions. The feature set provides characteristic information and enables segmentation that is more meaningful than the recently published works do.
机译:在本文中,我们提取了一种简单但有效的算法,用于提取彩色图像/视频分段中使用的感知色调特征集,重点在于颜色纹理。特征提取,对整体图像/视频分析过程产生重大影响,在基于分类的分割中起着关键作用。新引进的特征在于,新引入的特征在于具有不变性的照明,翻译和旋转的特征来精确地表征,这是通过探索六个基本颜色和局部消费品分量的统计方案的统计方案。该功能集提供了特征信息,并使比最近发布的工作更具有意义的分段。

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