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首页> 外文期刊>Pattern Analysis and Applications >COLOR CHILD: a novel color image local descriptor for texture classification and segmentation
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COLOR CHILD: a novel color image local descriptor for texture classification and segmentation

机译：COLOR CHILD：一种新颖的彩色图像局部描述符，用于纹理分类和分割

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摘要

Designing a robust image local descriptor for the purpose of image segmentation, analysis, recognition and classification has been an active area of research to date. In this paper, a robust and computationally efficient image local descriptor named "COLOR CHILD" has been proposed. COLOR CHILD addresses the weaknesses of Weber Local Descriptor (WLD) by considering Laplacian of Gaussian (LoG) for its differential excitation component and Tiansi fractional derivative-based filter for its orientation component. For any given image, these two components are then used to construct a concatenated histogram and with the addition of color moments up to third order the capabilities of the proposed descriptor COLOR CHILD has been extended to handle textures in color space. COLOR CHILD is shown to outperform all of the known state-of-the-art image local descriptors of parametric and non-parametric types on a variety of benchmark texture databases such as KTH-TIPS2-a, KTH-TIPS2-b, and CUReT under varying degrees of noise while performing texture classification task. Further, the response profile of the COLOR CHILD in terms of Wasserstein distance measures (obtained by sliding a query patch across the image to be segmented) is found to be better suited as initial image for active contour-based image and texture segmentation algorithms. The efficacy of the COLOR CHILD for segmentation task is amply demonstrated on synthetic color images under varying degrees of noise and on real-world texture images.
机译：迄今为止，设计用于图像分割，分析，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，提出了一种鲁棒且计算效率高的图像局部描述符，名为“ COLOR CHILD”。通过将高斯拉普拉斯算子（LoG）用作微分激励分量，将基于天斯分数导数的滤波器作为其方位分量，COLOR CHILD解决了Weber局部描述符（WLD）的缺点。对于任何给定的图像，然后使用这两个分量来构建级联的直方图，并且通过增加色彩矩直至三阶，所提出的描述符COLOR CHILD的功能已扩展为可以处理色彩空间中的纹理。在各种基准纹理数据库（例如KTH-TIPS2-a，KTH-TIPS2-b和CUReT）上，COLOR CHILD的性能优于所有已知的参数和非参数类型的最新图像本地描述符。在执行纹理分类任务时处于不同程度的噪声下。此外，发现根据Wasserstein距离度量（通过在要分割的图像上滑动查询补丁而获得）的“彩色儿童”响应曲线更适合用作基于主动轮廓的图像和纹理分割算法的初始图像。在不同程度的噪点下的合成彩色图像上以及在真实世界的纹理图像上都充分证明了彩色儿童分割任务的功效。

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  • 来源
    《Pattern Analysis and Applications》 |2016年第3期|821-837|共17页
  • 作者

    Anamandra Sai Hareesh; Chandrasekaran V.;

  • 作者单位

    Sri Sathya Sai Inst Higher Learning, Dept Math & Comp Sci, Puttaparthi, India;

    Sri Sathya Sai Inst Higher Learning, Dept Math & Comp Sci, Puttaparthi, India;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
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