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Rotation-invariant texture Image Classification using R-transform

机译:使用R转换旋转不变纹理图像分类

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In this paper, An descriptor of rotation-invariant texture Image Classification is proposed. The feature exacted by using the proposed method is rotation invariant and robust to the change of spatial scale and illumination. Rotation invariant is achieved by means of Rapid transformation (R-transform) to eliminate cyclic translation resulting from rotation variation on the local circle region, which rounds a centre pixel. Combination of several descriptors with different (N, R) parameters the spatial multiscale are obtained. Texture classification experiments were carried out on the Brodatz databases and promising results are obtained from those experiments.
机译:本文提出了一种旋转不变纹理图像分类的描述符。通过使用所提出的方法进行了严格的特征是旋转不变,并且对空间尺度和照明的变化稳健。通过快速变换(R变换)实现旋转不变,以消除由局部圆区域上的旋转变化产生的循环翻译,该圆形区域舍入中心像素。使用不同(n,r)参数的几个描述符的组合获得了空间多尺度。在Brodatz数据库上进行纹理分类实验,并从这些实验中获得有希望的结果。

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