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

机译:彩色图像/视频分割感知色相特征集的提取

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摘要

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,我们提出了一种简单而有效的算法,用于提取彩色图像/视频分割中使用的感知色调特征集,并着重于颜色纹理。特征提取对整个图像/视频分析过程有重大影响,在基于分类的分割中起着至关重要的作用。新引入的特征集对照明,平移和旋转具有不变性,从而准确地表征了颜色纹理,这是统计方案在探索六种基本颜色和局部位置的消色差分量方面的统计方法所做出的贡献。该功能集提供了特征信息,并使分段比最近出版的作品更有意义。

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