图像处理之纹理特征提取✨图像纹理特征提取🌟

在图像处理领域，纹理特征提取是一项至关重要的技术🔍。这项技术能够帮助我们更好地理解和分析图像内容，尤其是在医学影像、遥感图像以及工业检测等方面有着广泛的应用🌍。

纹理特征是描述图像中像素排列规律性的属性，它不仅反映了局部区域内的灰度分布特性，还体现了不同区域之间的空间关系💡。常见的纹理特征提取方法包括统计法、傅里叶变换、小波变换和结构法等-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Methods-Method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