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。

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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。

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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。

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