This paper proposes an algorithm based on curve evolution for unsupervised texture segmentation.

提出了一种基于曲线演化的非监督式纹理分割算法。

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The algorithm is not only effective for the image of front magnetic curve, also effective for image segmentation of other similar histograms.

该算法不仅仅对前磁曲线图像有效，对具有与其相似直方图的图像，均可用该算法进行图像分割。

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The Mumford-Shah model is more robust than curve evolution model to detect discontinuities under noisy environment, so it is more suitable for segmentation of noisy jacquard images.

提花织物图像分割是提花图案设计的关键，曲线演化模型是一种流行的图像分割方法，但是该方法无法检测含噪环境下的图像特征。

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