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Texture segmentation is the identification of regions based on their texture. Your goal is to segment two kinds of fabric in an image using texture filters.
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用C语言实现区域增长，区域生长是一种很重要的图像分割方法。它是指从某个像素出发，比较相邻接像素的特征向量(包括灰度、边缘、纹理等特征)，在预先指定的准则下，若它们足够相似则作为同一区域合并，以此方式使相似特征的区域不断增长，最后形成分割图像。-Regional growth, regional growth is a very important image segmentation method using the C language. It refers to starting from
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基于纹理度量的图像分割，适用于遥感图像，利用到K-mean算法。-Image segmentation based on texture measurement, suitable for remote sensing image, using K-mean algorithm
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Texture Segmentation Using Texture Filters such as : entropyfilt, rangefilt and stdfilt.
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该方法采用gabor提取出图像纹理特征，最后采用k-means方法聚类进行图像分割(The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation)
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