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Description: 这是图像理解与分析中灰度共生矩阵算法的c++源代码。-This is the image analysis and understanding of co-occurrence matrix algorithm c source code.
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Size: 7265 |
Author: 王飞 |
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Description: 灰度共生矩阵算法实现,实现能量，熵，惯性矩，相关，局部平稳，共生矩阵。解压密码：123-Gray symbiotic matrix algorithm, achieving energy, entropy, moment of inertia, relevant, local stable, symbiotic matrix. Extracting Password : 123
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Size: 50472 |
Author: 周昀 |
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Description: 使用MATLAB实现图像的灰度共生矩阵算法。输入一个矩阵 输出为该矩阵的灰度共生矩阵
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Size: 982 |
Author: renxuefeier |
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Description: 灰度共生矩阵提取纹理特征
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Size: 1247 |
Author: wzzlbw5@163.com |
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Description: 灰度共生矩阵算法实现,实现能量，熵，惯性矩，相关，局部平稳，共生矩阵。解压密码：123-Gray symbiotic matrix algorithm, achieving energy, entropy, moment of inertia, relevant, local stable, symbiotic matrix. Extracting Password : 123
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Size: 50176 |
Author: 周昀 |
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Description: 这是图像理解与分析中灰度共生矩阵算法的c++源代码。-This is the image analysis and understanding of co-occurrence matrix algorithm c source code.
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Size: 7168 |
Author: 王飞 |
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Description: 纹理特征提取算法，灰度共生矩阵源代码，给出了0度45度90度和135度的矩阵-Texture feature extraction algorithm, gray level co-occurrence matrix source code, gives 0 degrees 45 degrees 90 degrees and 135 degrees of the matrix
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Size: 50176 |
Author: 吴月姝 |
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Description: 计算四个方向的灰度共生矩阵，将其作为纹理特征，是一种纹理特征提取算法。-Calculation of the four directions of Gray Level Co-occurrence matrix as texture features, is a kind of texture feature extraction algorithm.
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Size: 1024 |
Author: Owenli |
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Description: 灰度共生矩阵特征提取算法动态库，可用于提取灰度共生矩阵特征-Gray-level co-occurrence matrix feature extraction algorithm for the dynamic libraries can be used to extract gray-level co-occurrence matrix features of
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Size: 1417216 |
Author: zhuxh |
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Description: 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 prospect of images and background color or grayscale at up close, it is difficult using traditional threshold segmentation algorithm, such as the effective partition of the problem, a method of integration of many types of deposits circular image region segmentation strategy. Image filtering deal with a series of pre-partition after the target image projection external rectangular area in order to rule out the possibility of noise interference, in the region to adopt improved methods of co-occurrence matrix gray coarse segmentation to solve the window size and segmentation accuracy problem, using two-dimensional OTSU threshold segmentation method to quantify the coarse segmentation results. Experimental results show that the method of region segmentation results of the edge of a clear, high accuracy.
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Size: 141312 |
Author: 子登 |
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Description: 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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Size: 304128 |
Author: 小五子 |
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Description: 多媒体技术的发展和视觉信息的飞速膨胀迫切需要对视觉信息资源的有效管理和检索。由此，基于内容的图像和视频检索技术得到了越来越多的重视，成为了多媒体信息检索和图像处理领域中的重要研究方向。CBIR技术将对大规模图像信息的管理和访问提供有力支持。
本文这种介绍了内容图像检索的灰度特征实现方法，具有理论意义和实际应用价值。针对基于内容图像检索技术进行了研究，介绍了其研究现状和关键技术，讨论了其技术瓶颈和发展趋势。共生矩阵法，是对图像的所有像元进行统计调查，以便描述其灰度分布的一种方法。分析了这种基于广义图像灰度共生矩阵的图像检索方法，该方法首先将原图像作平滑处理得到平滑图像，然后将原图像和平滑图像组合得到广义图像灰度共生矩阵，提取该矩阵的统计特征量，最后将该统计量组成归一化向量用以检索。
实验结果表明，本方法的效果要优于单纯的灰度共生矩阵法。在对相似图像检索时，该算法与基于共生矩阵的经典算法相当，在面临同一图像大小显著改变或发生旋转的情况下，该算法明显优于经典算法。相比较而言，该算法提高了检索的有效性。
-The development of multimedia technology and the expansion of visual information，which cries for the effective management and retrieval methods of visual information. Thus, the image and video searching technology based on content is gaining more and more attention to become a multimedia information retrieval and image processing in the field of important research direction. The technology of CBIR provides effective supports for the management and access of extensive image information.
This paper introduced the content of the image retrieval method characteristics of gray, with theoretical and practical value. This paper does an extensive and in-depth study of technology based on content image retrieval to, presenting their research status and key technologies, discussing its development trends and technological bottlenecks. Co-occurrence matrix of all the pixel image survey has been conducted in order to describe a method of distribution of gray. This paper analyses this broad-based
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Size: 570368 |
Author: qichao |
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Description: 基于灰度共生矩阵的纹理特征提取实现算法，开发平台是vc-GLCM-based texture feature extraction algorithms to achieve
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Size: 544768 |
Author: qian |
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Description: 灰度共生矩阵提取特征值，最近邻算法，进行纹理图像分类。creat_apprentissage用来训练样本，cooccurence是灰度共生矩阵提取特征值，knn是进行k最近邻算法，classif是纹理图像分类-coocurence matrix，using K nearest neighbor to classify textures images.
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Size: 53135360 |
Author: 王静 |
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Description: 此程序是基于灰度共生矩阵的图像纹理特征提取算法，它进行了四个方向上的灰度共生矩阵的计算，从而得出他们的纹理特征向量，再求均值，使计算进度大幅度提高-This program is based on the GLCM texture feature extraction algorithm, which was four directions GLCM calculation to arrive at their texture feature vector, and then seek means to significantly increase computing progress
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Size: 4096 |
Author: 袁浩然 |
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Description: C 语言图像处理代码大全，包括比较常用的算法。例如:阈值分割，边缘检测，直方图的计算，灰度共生矩阵的计算等等。-C-Code Complete, image processing, including the commonly used algorithms. For example: threshold segmentation, edge detection, histogram calculation, the calculation of GLCM and so on.
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Size: 8223744 |
Author: 二毛 |
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Description: 用matlab实现灰度共生矩阵算法，并提取特征量-GLCM with matlab implementation algorithms, and the amount of extracted features
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Size: 404480 |
Author: 杨彬 |
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Description: 灰度共生矩阵算法 vc++实现 -GLCM algorithm vc++ Realize GLCM algorithm vc++ Realize
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Size: 9216 |
Author: 樟树 |
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Description: c++的时域及频域的图像处理的多种算法，还包括灰度共生矩阵算法的实现-c, time-domain and frequency domain image processing algorithms, including algorithms to achieve GLCM
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Size: 4799488 |
Author: 苏斌 |
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Description: 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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Size: 203776 |
Author: ljLJ
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