Description: 基于OpenCV的K-均值算法,用于聚类分析,如图象的颜色聚类,生成相关的颜色表等.-the K-means algorithm for clustering analysis, such as image color clustering, Formation of color, and so on. Platform: |
Size: 1933 |
Author:guolijun |
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Description: 災色統計聚類的matlab源碼，可用來進行統計分析，計算白化與灰化的情況-disaster color clustering Matlab statistical source, which can be used for statistical analysis, computation and whitening of the ash Platform: |
Size: 9249 |
Author:韋家振 |
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Description: Determination of number of clusters in K-Means Clustering and Application in color image segmenta Platform: |
Size: 26114 |
Author:liuhong |
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Description: 利用聚类算法分割图像，将维对分法只可将图像分为2部分，可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数，聚类中心为随机值，当然也可以采用其他参数，程序编译为EXE文件后速度还可以接受，但尚有改进的余地，那位高手有空修改的话，请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two parts, the two values can be used as the source, K-means algorithm can be divided into images of arbitrary multi-part. Procedures used directly in R, G, B color as the characteristic parameters for the cluster center random value, of course, can also be used for other parameters, procedures EXE compiler to speed document acceptable, but there is still room for improvement, but the master of the time change, then please give me also made in the code. Platform: |
Size: 50176 |
Author:pbt |
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Description: 利用matlab实现彩色图像的分割。算法主要是利用聚类算法。-using Matlab color image segmentation. This algorithm is to use clustering algorithm. Platform: |
Size: 862208 |
Author:cnn |
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Description: 像素聚类区域成长法－－
顾名思义，此方法从一个种子像素开始，通过如平均灰度，组织纹理及色彩等性质的判断，将具有类似性质的像素逐一纳入所考虑的区域中，使此区域由种子逐渐成长成一个性质相似的图像区块。-pixel clustering method regional growth-- the name implies, this method from a seed pixels, through such as average gray, the color and texture organizations such as the nature of judgment, with similar to the nature of each pixel into consideration the region, so this area has gradually grown from seed into a nature similar to the image block. Platform: |
Size: 4096 |
Author:xinxin |
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Description: 基于遗传聚类的彩色图像分割,用caj 打开，很好的毕业论文-based on genetic clustering color image segmentation, PRODUCTS opened with a good thesis Platform: |
Size: 2435072 |
Author:sdfdf |
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Description: k-means聚类算法在二维平面上的可视化实现
聚类时可以设置类数和迭代阈值
聚类结果用色彩和类圆清楚的表现出来-k-means clustering algorithm in a two-dimensional plane with the Visualization of clustering can be set up several categories and iterative threshold Clustering results using color and class round clearly demonstrated Platform: |
Size: 45056 |
Author:周黎明 |
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Description: 基于OpenCV的K-均值算法,用于聚类分析,如图象的颜色聚类,生成相关的颜色表等.-the K-means algorithm for clustering analysis, such as image color clustering, Formation of color, and so on. Platform: |
Size: 2048 |
Author:guolijun |
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Description: A general technique for the recovery of signi cant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (including robust clustering) are
avoided. Feature space of any nature can be processed,
and as an example, color image segmentation is dis-
cussed. The segmentation is completely autonomous,
only its class is chosen by the user. Thus, the same
program can produce a high quality edge image, or pro-
vide, by extracting all the signi cant colors, a prepro-
cessor for content-based query systems. A 512 512
color image is analyzed in less than 10 seconds on a
standard workstation. Gray level images are handled
as color images having only the lightness coordinate-A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c Platform: |
Size: 17408 |
Author:gggg |
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Description: 災色統計聚類的matlab源碼，可用來進行統計分析，計算白化與灰化的情況-disaster color clustering Matlab statistical source, which can be used for statistical analysis, computation and whitening of the ash Platform: |
Size: 9216 |
Author:韋家振 |
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Description: Determination of number of clusters in K-Means Clustering and Application in color image segmenta Platform: |
Size: 25600 |
Author:liuhong |
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Description: 基于Opencv实现的k-means聚类图像分割算法，可自定义聚类个数，根据像素点的位置和颜色进行聚类-Opencv based on the realization of the k-means clustering image segmentation algorithm, the number of clustering can be customized, according to pixel location and color clustering Platform: |
Size: 3536896 |
Author:drowning |
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Description: 使用聚类中K－平均算法，以颜色分量作为坐标参数，对景象图进行聚类分析，要求最后的分类结果将路标（可能包括少量相似区域）聚类为一个模式类别-The use of clustering in the K-average algorithm, to the color component parameters as the coordinates of a scene graph for cluster analysis requires the classification of the final results will be signs (which may include a small number of similar regional) clustering as a model category Platform: |
Size: 1956864 |
Author:hddnudt |
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Description: 介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的
空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals. Platform: |
Size: 348160 |
Author:singro jiang |
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Description: 一种图像分割算法—像素聚类区域成长法
此法从一个种子像素开始，通过如平均灰度、组织纹理及色彩等性质的判断，将具类似性质的像素纳入所考虑区域。-An image segmentation algorithm- clustering pixels regional growth law this method started from a seed pixel, through, such as average gray, organizations such as texture and color to determine the nature, of a similar nature will be incorporated into the pixel considered regional. Platform: |
Size: 8192 |
Author:施云涛 |
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Description: Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retrieving techniques, including color
clustering, color texture and shape, a new retrieving method with multi-features fusion and relevance
feedback is proposed to retrieve the desired endoscopic images. Results: A prototype system is set
up to evaluate the proposed method’s performance and some evaluating parameters such as the
retrieval precision & recall, statistical average position of top 5 most similar image on various features, etc.
are therefore given. Conclusions: The algorithm with multi-features fusion and relevance feedback
gets more accurate and quicker retrieving capability than the one with single feature image retrieving
technique due to its flexible feature combination and interactive relevance feedback. Platform: |
Size: 359424 |
Author:gokul/goks |
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Description: 基于opencv的图像颜色聚类算法。聚类精度较高，但颜色数目需要输入。-Opencv image-based color clustering algorithm. Clustering high accuracy, but the number of colors required to enter. Platform: |
Size: 1842176 |
Author:mosheh |
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Search - color clustering