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statistical methods in order to extract image texture descr iptors. In particular, we will focus on the Co-occurrence matrices and the Energy
filters (Laws filters). They are well-known texture descr iptors, fast and easy to implement and provide g
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经典的4种彩色图像分割方法：CSC.EGBIS.JSEG.Meanshift
的VC++实现；及相关英文文献。绝对值得拥有！-The classic four kinds of color image segmentation method: CSC.EGBIS.JSEG.Meanshift of VC++ implementation and the relevant literature in English. Definitely worth having!ha ha ...
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针对类圆形堆积物图像的前景和背景在色彩或灰度上相近，难以用传统阈值分割等算法进行有效分割的问题，提出一种多方法融
合的类圆形堆积物图像区域分割策略。对图像进行滤波等一系列预分割处理后进行投影得到目标图像的外接矩形区域，以排除噪声的干扰，
在区域内采用改进的灰度共生矩阵方法进行粗分割，以解决窗口大小与分割精度的问题，采用二维OTSU 阈值分割方法对粗分割结果进行
量化。实验结果表明，该方法得到的区域分割结果边缘清晰、准确度高。-Round deposits for the prospe
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用FCM聚类算法对纹理图像的分割，纹理使用的灰度纹理矩阵 计算四个方向的灰度共生矩阵-FCM clustering algorithm used for texture image segmentation, texture matrix used in calculating the four gray-scale texture of the gray-level co-occurrence matrix direction
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K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing images in frequency domain
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使用Weka分析环境开发的基于Java的图像分割及基于内容检索程序，分割采用最小生成树分割法，检索利用的是小波和共生矩阵提取的特征。-Analysis using the Weka environment for the development of Java-based content-based image segmentation and retrieval procedures, division of segmentation using minimum spanning tree,
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this a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.-this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.
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分割是在MRI analysis.We的基本问题之一，同时考虑了多种MR图像分割，其中，例如，可能是一个系列的问题经过一段时间的扫描相同的组织（的2D/3D）图像，图像的数量，或不同的切片图像的对称部分。 MR图像的多是分割份额常见的结构信息，因此他们可以协助彼此分割的程序。我们提出了一个贝叶斯共同分割算法在共享的信息整个图像是通过利用马尔可夫随机场前，和吉布斯采样后采样是有效的聘用。由于我们的共同拉动分割算法考虑到所有的图像信息的同时，它提供比个人更准确和坚实的结果分割，如支持从模拟和实际结果
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图像分割代码：包含图像分割迭代、峰谷、半阈值算法。-Image segmentation code: contains the image segmentation iteration, the peak and valley, half threshold algorithm.
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论文Active contours with selective local or global segmentation: a new formulation and level set method. Image and Vision Computing, vol.28, issue 4, pp.668-676, April 2010.的源代码.简单,容易学习-code for Paper K.H.Zhang, Lei Zhang, H.H.Song and W.Zhou.,Active c
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Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines
Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutuall
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建武和申铉京等人充分利用图像空间邻域信息，引入均值-中值-梯度共生矩阵模型，并结合Renyi熵相关理论, 提出一种结合纹理信息的三维Renyi熵阈值分割算法. 同时给出了该方法的快速递推公式。-Jianwu and Shin Hyun Beijing, who make full use of the image spatial information, the introduction of the mean- in value- gradient co-occurrence matrix m
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cvpr2012_oral
On Multiple Foreground Cosegmentation-In this paper, we address a challenging image segmentation
problem called multiple foreground cosegmentation
(MFC), which concerns a realistic scenario in general Webuser
photo sets where a
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使用灰度共生矩阵的方式（GLCM）对图像进行分割-Use the way of gray level co-occurrence matrix (GLCM) for image segmentation
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利用灰度图 建共生矩阵 利用特征值 对纹理图像分割-The use of grayscale co-occurrence matrix to build the use of characteristic values of the texture map would like to partition
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主要适用于灰度共生矩阵，对图像分割用处较大-Mainly applicable to the gray level co-occurrence matrix, the greater the usefulness of image segmentation
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co-segamentation by composition introduced by alon.faktor
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4基于灰度共生矩阵纹理特征的SAR图像分割 4 the SAR image segmentation based on gray level co-occurrence matrix texture feature(4 the SAR image segmentation based on gray level co-occurrence matrix texture feature)
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基于灰度共生矩阵纹理特征的SAR图像分割 the SAR image segmentation based on gray level co-occurrence matrix texture feature(the SAR image segmentation based on gray level co-occurrence matrix texture feature)
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详细的基于纹理的图像分割算法 灰度共生矩阵实现代码，实现效果比较满意(Detailed texture based image segmentation algorithm, gray co-occurrence matrix implementation code, to achieve satisfactory results)
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