Porat M, Zeevi Y Y
IEEE Trans Biomed Eng. 1989 Jan;36(1):115-29. doi: 10.1109/10.16457.
Recent studies of cortical simple cell function suggest that the primitives of image representation in vision have a wavelet form similar to Gabor elementary functions (EF's). It is shown that textures and fully-textured images can be practically decomposed into, and synthesized from, a finite set of EF's. Textured-images can be synthesized from a set of EF's using image coefficient library. Alternatively, texturing of contoured (cartoon-like) images is analogous to adding chromaticity information to contoured images. A method for texture discrimination and image segmentation using local features based on the Gabor approach is introduced. Features related to the EF's parameters provide efficient means for texture discrimination and classification. This method is invariant under rotation and translation. The performance of the classification appears to be robust with respect to noisy conditions. The results show an insensitivity of the discrimination to relatively high noise levels, comparable to the performances of the human observer.
近期对皮层简单细胞功能的研究表明，视觉中图像表征的基元具有类似于伽柏基本函数（EF）的小波形式。研究表明，纹理和全纹理图像实际上可以分解为有限集的EF并由其合成。可以使用图像系数库从一组EF合成纹理图像。另外，对轮廓（卡通般）图像进行纹理处理类似于向轮廓图像添加色度信息。介绍了一种基于伽柏方法使用局部特征进行纹理辨别和图像分割的方法。与EF参数相关的特征为纹理辨别和分类提供了有效的手段。该方法在旋转和平移下是不变的。分类性能在噪声条件下似乎很稳健。结果表明，辨别对相对较高的噪声水平不敏感，与人类观察者的表现相当。
