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COLOR CHILD: A robust and computationally efficient Color Image Local Descriptor

机译:颜色儿童:强大且计算效率高的彩色图像本地描述符

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摘要

Designing a robust image local descriptor for the purpose of pattern recognition and classification has been an active area of research to date. In this paper a robust and computationally efficient Color moments augmented Cumulative Histogram-based Image Local Descriptor called COLOR CHILD has been proposed. The above descriptor has outperformed all the image local descriptors of parametric and non-parametric types quoted as recently as April 2013 in the literature for texture classification. We have demonstrated the efficacy of the proposed descriptor on a variety of benchmark texture databases such as KTH-TIPS2-a, KTH-TIPS2-b, and CuReT under both noiseless and noisy conditions.
机译:迄今为止,设计用于图案识别和分类的鲁棒图像局部描述符一直是研究的活跃领域。在本文中,提出了一种健壮且计算效率高的基于色彩直方图的累积直方图图像局部描述符,称为COLOR CHILD。上面的描述符的性能优于最近在2013年4月在纹理分类文献中引用的所有参数化和非参数化图像局部描述符。我们已经证明了所提出的描述符在各种基准纹理数据库(例如KTH-TIPS2-a,KTH-TIPS2-b和CuReT)下在无噪声和嘈杂条件下的功效。

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