Texture image segmentation is foundation of image analysis, model recognition and computer vision, which is also a classic problem.
纹理分割是图像分析、模式识别、计算机视觉等领域的基础，也是个经典难题。
The traditional cooccurrence matrix is an effective approach in texture image analysis. It is widely used in the research sense of image comprehension and computer vision.
传统的灰度共生矩阵是一种有效的纹理图像分析方法，它在图像理解和计算机视觉研究领域已得到了广泛的应用。
Texture analysis is very important in remote sensing, medical image processing, computer vision and image searching by texture feature.
纹理分析在遥感、医学图像处理、计算机视觉及基于纹理的按图像内容检索等许多应用领域中具有重要意义。
Texture analysis is a basic issue in image processing and computer vision, and how to attain the rotation-invariant texture characterization is a key problem.
纹理分析是图像处理和机器视觉中的一个基本要素，而如何获得其中的纹理旋转不变性描述则是其中的重要环节。
Texture analysis is a basic issue in image processing and computer vision, and how to attain the rotation-invariant texture characterization is a key problem.
纹理分析是图像处理和机器视觉中的一个基本要素，而如何获得其中的纹理旋转不变性描述则是其中的重要环节。
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