One of the major aspects of research work in image processing is texture segmentation.
纹理分析是图象处理中的一个重要领域。
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。
The description and extraction of SAR image texture feature is important to texture segmentation.
SAR图像纹理特征的描述和提取是纹理分割的关键。
The experimental results demonstrate the effectiveness of ISBEC for color-texture segmentation of natural images.
实验结果验证了ISBEC对自然图像色彩—纹理分割的有效性。
Compared with the geometric moment-based texture segmentation, we can reduce the error rates using orthogonal moments.
和基于几何矩的纹理分割相比，用正交矩可以降低分割错误率。
The techniques for realization of OWT and applications in image feature extraction and texture segmentation are explored thoroughly.
深入研究了光学子波变换的实现技术及其在图象特征提取和纹理图象分割等方面的应用。
This paper presents a novel approach to unsupervised texture segmentation according to a very general nonparametric statistical model of image neighborhoods.
针对基于统计的纹理分割算法存在的不足，提出了一种新的多分辨模型下的无监督统计纹理分割算法。
The larger the dimension is, the more the visual patterns emerge. (2) A new method for texture segmentation by using the learned TICA unmixing bases as filters is implemented.
通过TICA从观测纹理图像学习图像分离基，并将其转化为一组滤波器，实现了一种无监督纹理分割算法。
Most existing texture segmentation approaches focus on gray texture images, this paper proposes an algorithm of color texture segmentation that combine the fractal texture feature with color.
现有的纹理分割方法大多集中于研究灰度纹理图像，该文提出了一种基于分形纹理特征和颜色信息结合的彩色纹理分割算法。
Most existing texture segmentation approaches focus on gray texture images, while this paper presents a color texture image segmentation method, which is based on fractal theory and BP neural network.
现有的纹理分割方法大多集中于研究灰度纹理图像，文中提出一种基于分形理论和BP神经网络的彩色纹理图像分割方法。
Texture segmentation experiments give the effectiveness of this method.
实验结果证明了本方法的有效性。
Texture segmentation experiments give the effectiveness of this method.
实验结果证明了本方法的有效性。
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