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中文摘要：
针对纹理图像分类问题，本文提出了一种应用ICA滤波器技术提取图像纹理特征的方法。该方法首先从训练图像集中随机抽取图像块作为观测信号，应用ICA技术，提取滤波器组。然后根据训练样本图像对滤波器组的响应值来评估和选择滤波器组，达到降维的目的。最后利用滤波器组对测试图像进行滤波，得到该图像的滤波响应结果，从该响应结果中得到最大响应滤波器编号，提取其直方图作为图像的全局特征和局部特征。对Brodatz纹理图像集中108个纹理类别进行了分类实验，结果表明，与MPEG-7纹理描述子相比，该图像特征对纹理图像具有更好的分类效果。
英文摘要：
A novel image texture exaction algorithm using Independent Component Analysis （ICA） filters for image classification is proposed. Firstly, image patches are selected randomly fi＇om images in training set as observation signal. A group of filters （ICA filters） is extracted from the sample texture images using ICA method. And then, ICA filters are evaluated and selected according to the response of the input sample images for the purpose of reducing feature dimension Finally, response results of test images are gotten by using the filters to the images. Global and local features are extracted from the histogram of the maximum response results. Experiments are completed on the images with 108 texture classes from the Brodatz album. Experimental results show that the proposed texture feature has better classification rate than that of MPEG-7 texture descriptors.
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