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在图像处理中，有些图像既没有明显的边缘，也缺乏明显的纹理特征，传统的分割方法及GAC模型将难以成功实现图像分割。于是提出了C-V模型，其基本思想与传统的基于区域的图像分割方法是一致的：都是根据能量最小原则。
-Image processing, some of the images is neither obvious edge, but also the lack of obvious texture features, the traditional method of segmenta
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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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Unsupervised segmentation of color-texture regions in images and video无监督的彩色图像分割方法，非常牛叉-Unsupervised segmentation of color-texture regions in images and video unsupervised color image segmentation method, is very cattle fork
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图像的分割，采用面向对象的技术，对对像内像元的均值和方差统计，并通过灰度和纹理信息进行分类-Image segmentation, using object-oriented technology, the mean and variance statistics on as pixels, and classified by gray and texture information
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使用纹理滤波器分割图像
就是利用图像中不同区域的纹理来对图像的区域进行划分。-Image segmentation is to use different regions of the texture image to be divided to the area of the image using the texture filter.
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遥感分析，一是目视解译，二是计算机信息提取，计算机提取包括自动分类、纹理识别、图像分割、还有面向对象的信息提取-Remote sensing analysis, one is visual interpretation, the two is the computer information extraction, automatic classification of computer includes extraction, texture recognition, image segmen
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用FCM 对自然图像 sar图像以及纹理图像进行快速分割 ，用一维和二维直方图分别对图像进行特征映射 从而快速的对图像进行分割 包含结果截图-By FCM sar image of natural images quickly and texture image segmentation, with one-dimensional and two-dimensional histogram of the image feature maps were so fast image segmenta
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图像的处理主要包括图像变换、图像纹理分析、空间转换、分割与配准，还需进一步完善。-Image processing including image conversion, image texture analysis, space conversion, segmentation and registration, need to be further improved.
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纹理图像的分割程序，分割效果较好，代码清晰，非常适合学术研究。-Texture image segmentation procedures, better segmentation, clear code, very suitable for academic research.
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提取图像的laws纹理，并给予laws的图像分割源代码-To extract image texture, the laws of source code and laws of image segmentation
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JSEG是一种基于颜色和空间纹理信息的区域
分割方法，主要包括颜色量化和空间分割。-JSEG a space based on the color and texture information area
Segmentation methods, including color quantization and spatial segmentation.
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Abstract—Noninvasive ultrasound imaging of carotid plaques
allows for the development of plaque-image analysis methods associated
with the risk of stroke. This paper presents several plaqueimage
analysis methods that have been developed over th
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利用聚类技术实现纹理图像分割,聚类方法为k_聚类-The use of clustering technology to achieve texture image segmentation, experimental use of texture features include: mean, standard deviation, energy and entropy
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Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extens
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使用纹理滤波器分割图像。首先求取图像不同部分的纹理，然后使用entropyfilt、stdfilt、rangefilt3个不同的滤波函数对图像进行滤波。-Texture image segmentation using the filter. First strike different parts of the image texture, then use entropyfilt, stdfilt, rangefilt3 different filtering functions for i
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This paper proposes and evaluates a promising technique
used for liver segmentation that can be used as the first step in
liver treatment planning. It is based on texture feature
analysis obtained from 3D DCT block coefficients, support
vecto
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基于Gabor滤波的纹理特征提取程序，用于图像分割-Texture feature extraction based on Gabor filter program, used for image segmentation
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模糊分析的方法是用均一表面不确定性对原始图像进行模糊纹理滤波, 在滤波图像上计算空间均一不确定性,对不确定性进行模糊纹理光谱分析, 其光谱曲线直观地反映了多光谱遥感图像的纹理特征 通过采用不同的测量窗口,在不同的类别提取纹理样品进行实验。研究结果表明:多光谱遥感图像在小区域纹理特征不稳定,不同波段的纹理特征不同,不同类别的最小测量区域不同 模糊纹理分析的方法可用于图像分割。-Fuzzy analysis is to use a uniform surface uncertainty on the
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GRABCUTOpenCV中的GrabCut算法是依据《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》这篇文章来实现的。该算法利用了图像中的纹理（颜色）信息和边界（反差）信息，只要少量的用户交互操作即可得到比较好的分割结果。如果前景和背景之间的颜色反差不大，分割的效果不好；不过，这种情况下允许手工标记一些前景或背景区域，这样能得到较好的结果。-GRABCUTOpenCV in GrabCut alg
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采用支持向量机的方法，融合纹理 颜色等特征对彩色图像进行分割的小文章-Fusion method based on support vector machine, the texture features such as color of color image segmentation of small articles
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