具有旋转不变性的纹理分割方法

A ROTATION-INVARIANT APPROACH FOR THE SEGMENTATION OF TEXTURED IMAGES

本文提出了一种具有旋转不变性的纹理分割算法。纹理图象被模拟为三层次过程综合作用形成的,它们是区域过程、纹理过程和退化过程。整个方法包括具有旋转不变性的纹理特征抽取、纹理特征的光滑、基于三层次神经元网络的初始分割以及利用多值Boltzmann机的进一步分割。对自然纹理图象的分割结果证明了算法的有效性。

This paper presents a rotation-invariant approach for segmenting textured images. The textured images are modeled as three hierarchical processes, namely, the region process, the texture process, and the degradation process. The whole procedure includes extraction of rotation-invariant features, smoothing of these features, initial segmentation based on three-layered neural networks, and extensive segmentation using multi-valued Boltzmann machines. Experiments on natural textures have shown its efficiency.