Rapid-transform based rotation invariant descriptor for texture classification under non-ideal conditions
Rapid-transform based rotation invariant descriptor for texture classification under non-ideal conditions
复制标题
非理想条件下基于快速变换的旋转不变描述符的纹理分类
DOI：
10.1016/j.patcog.2013.05.003
复制
发表时间：
2014-01-01
影响因子：
8
通讯作者：
Fu, Bo
中科院分区：
文献类型：
--
作者：
Li, Chaorong;Li, Jianping;Fu, Bo
提出了基于快速变换的描述符，用于针对旋转变化、照明变化以及噪声影响的纹理分类。所提出的描述符基于局部圆形邻域，并通过快速变换获得局部特征向量。由于快速变换的循环移位不变性，局部特征向量是旋转不变的。将多个具有不同（N，R）参数的描述符组合起来，获得空间多尺度。特征选择方法旨在提高分类精度并降低计算成本。讨论了噪声问题，并在噪声条件下引入了基于Rapid-transform的更鲁棒的描述符。在 Brodatz 和 Outex 数据库上进行了纹理分类实验，并从这些实验中获得了有希望的结果。 (C) 2013 Elsevier Ltd. 保留所有权利。
Rapid-transform based descriptor is proposed for texture classification against rotation variations, illumination variations, as well as noise effect. The proposed descriptor is based on the local circular neighborhood and the local feature vector is obtained by means of Rapid-transform. The local feature vector is rotation invariant because of the cyclic shift invariance property of Rapid-transform. Combining several descriptors with different (N, R) parameters the spatial multiscale is obtained. Feature selection approach is designed to improve the classification accuracy and reduce the computing cost. The issue of noise is discussed and more robust descriptor based on Rapid-transform is introduced under noise condition. Texture classification experiments were carried out on the Brodatz and Outex databases, and promising results are obtained from those experiments. (C) 2013 Elsevier Ltd. All rights reserved.