The texture segmentation method which based on the self-adapted texture windows selected is proposed.
提出了通过不同的纹理窗口的选择来自适应的完成纹理的分割。
In order to overcome the weakness of statistical texture segmentation method, a new unsupervised texture segment algorithm, based on multi-resolution statistical model, was present.
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。
An effective method for image segmentation based on color and texture features is proposed.
文章提出了一种有效的基于颜色和纹理综合特征的图像分割方法。
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。
In this paper, a segmentation method is proposed by using genetic neural network and texture information.
提出了一种基于纹理信息和遗传神经网络的图像分割方法。
OBJECTIVE: a new texture analysis method is proposed, based on a minimum-variance energy map, to suppress the effect of tag lines on image segmentation.
目的：为了抑制标记线对图像分割的影响，提出了一种基于最小值-方差能量图的纹理分析方法。
Combined with the active contour image segmentation method, this model can be applied to texture segmentation.
再利用基于活动围道的图像分割算法对该子图像进行分割，可以获得良好的纹理图像分割结果。
Moreover, variational method which can conveniently integrate image information, such as edge, region, shape, texture and motion field becomes the mainstream method of image Segmentation.
而可以综合集成图像的区域、边缘、形状、纹理、以及运动场等信息的变分方法因其良好的通用性与可扩展性成为时下图像分割领域主流的方法之一。
A new method based on least squares and region segmentation is proposed to retrieve and compare the texture features of multi-spectral images in this paper.
该文提出一种基于最小二乘及区域分割的多光谱图像纹理特征提取与比较的方法。
The variogram value and the variable distance calculated by the variogram function are used for the segmentation of texture image. This method is proved to be feasible and effective by experiments.
文中算法根据变差函数的这种性质将单步长变差函数值作为图像纹理特征进行分割，实验结果表明它对纹理图像分割与识别是十分有效的。
This paper is about the texture segmentation technology on lace image and the method of separating needle region and distinguishing.
本文阐述了对花边图像采用纹理分区技术，进行针法区域分割进而识别的方法。
Texture segmentation experiments give the effectiveness of this method.
实验结果证明了本方法的有效性。
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。
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。
应用推荐