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Rotation-invariant texture Image Classification using R-transform

机译:使用R变换的旋转不变纹理图像分类

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摘要

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:本文提出了旋转不变纹理图像分类的描述符。通过所提出的方法精确的特征是旋转不变并且对空间尺度和照明的变化具有鲁棒性。旋转不变性是通过快速变换(R-transform)来实现的,以消除由于局部圆区域上的旋转变化而产生的循环平移,从而使中心像素变圆。结合具有不同(N,R)参数的几个描述符,可以获得空间多尺度。在Brodatz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。

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