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: 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: 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: 一种基于模糊c均值聚类的彩色图像区域分割方法，该方法首先选用适合的彩色空间，然后利用c均值聚类的方法，最终实现图像分割-Based on fuzzy c-means clustering for color image region segmentation method that first of all choose a suitable color space, and then use c-means clustering approach, the eventual realization of image segmentation Platform: |
Size: 164864 |
Author:xiaogang |
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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: 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: 图像颜色聚类分割，实现了图形分割，基于RGB特征并显示出来。-Color image segmentation clustering, to achieve the graphics division, based on the characteristics of RGB and displayed. Platform: |
Size: 1024 |
Author:shenyong |
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Description: In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
-In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
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Size: 2048 |
Author:pramod |
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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: 台湾大学几位学者写的基于K-均值算法的快速图像分割，用到基于HSV颜色空间的直方图-Fast Image Segmentation Based on K-Means
Clustering with Histograms in HSV Color Space Platform: |
Size: 586752 |
Author:gaotengfei |
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Description: 本程序首先把图像由RGB空间转到HSI空间，然后利用彩色图像分割策略以及meanshift算法对图像进行分割最后加入边界合成。其中‘keyprogram.m’文件为主程序，‘meanshift.m’文件为调用函数，实现数据的聚类分割。-The program first the image from the RGB space to HSI space and then using color image segmentation strategy and meanshift image segmentation algorithm synthesis of the last to join the border. Which ' keyprogram.m' file-based program, ' meanshift.m' file to call the function, data clustering segmentation. Platform: |
Size: 161792 |
Author:刘常云 |
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Description: This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matrix. The centroids and
covariance matrices are estimated from large set of
training samples after a k-means clustering process. Pixels
in a color input image can be classified into skin or nonskin
based on the Mahalanobis distances to the three
clusters. Efficient post-processing techniques namely noise
removal, shape criteria, elliptic curve fitting and faceinonface
classification are proposed in order to !inther refine
skin segmentation results for the purpose of face detection. Platform: |
Size: 220160 |
Author:陆 |
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Description: 本文是基于最新的模糊C均值彩色图像分割方法改进得来的新算法-This article is based on the fuzzy c-means clustering color image segmentation method of the latest paper Platform: |
Size: 831488 |
Author:duo |
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Description: 聚类分割彩色图片-基于Matlab的彩色图像分割-聚类分析，经个人测试完全可用。-Clustering color image segmentation of color image segmentation based on Matlab- cluster analysis, the individual test completely available.
Platform: |
Size: 5120 |
Author:咸鱼 |
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Description: 针对目前传统的枸杞分级主要采用人工方法， 费时费力且效率不高的缺点， 提出了一种基于机器视觉技术对枸杞
进行自动分类的方法。 采用数字图像处理技术对枸杞图像进行了预处理、 分割 ， 从而提取枸杞的色泽、 大小及形状等特征
参数； 用 K-means 算法对特征进行聚类， 得到枸杞相应等级的基准； 根据聚类分析得到的基准采用最小距离分类器对枸杞
进行分级。 实验结果表明 ， 该方法能够准确快速地对不同色泽和大小的枸杞进行分类。-Traditional wolfberry sorting primarily uses artificial method. It has time-consuming and inefficient shortcomings. An
automatic wolfberry classification method based on machine vision is proposed. This paper uses digital image processing technology for wolfberry image pre-processing, segmentation and extraction of characteristic parameters of color, size and shape it
uses the K-means clustering feature to get the baseline of wolfberry appropriate level it grades wolfberry by minimum distance
classifier based on the trained benchmark. The experimental results show that this method can classify different colors and sizes
of wolfberry more accurately and quickly. Platform: |
Size: 1451008 |
Author:李祥龙 |
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Description: 均值漂移算法是一种基于颜色特征的无参密度估计算法，被人们广泛的应用于图像滤波、聚类分析和目标跟踪等领域。-Mean shift algorithm is a nonparametric density estimation algorithm based on color feature, which is widely used in the fields of image filtering, clustering analysis and target tracking. Platform: |
Size: 4139008 |
Author:王乾 |
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Description: MATLAB程序，对任意彩色图像，基于K聚类算法的图像分割。-MATLAB program, for any color images, image segmentation based on K clustering algorithm. Platform: |
Size: 1024 |
Author:马达 |
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Description: matlab中K-means聚类算法在CIElab空间的可用于车牌检测，基于色彩的图像分割-K- means clustering algorithm in matlab in the CIElab space can be used for license plate detection, image segmentation based on color Platform: |
Size: 1024 |
Author:小王 |
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Description: 实现基于颜色的Kmeans图像分割，只是需要自己设定聚类中心数目，聚类中心初始化采用Kmeans-Kmeans image segmentation based on color, but need to set the number of cluster centers, clustering center initialization using Kmeans++ Platform: |
Size: 13312 |
Author:jhj |
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Search - image clustering based on color