The results of experiments show that this method is better for medical image clustering.
实验结果表明，该聚类方法效果较明显。
In this paper, proposed a color image clustering segmentation system based on a two-level structure, which allow the number of color and cluster centers to be determined automatically.
本文提出一种基于两层结构的彩色图像聚类系统，该系统能够自动判定颜色数目和聚类中心。
An image annotation method based on mutual information and constrained clustering is proposed.
提出一种基于互信息约束聚类的图像标注算法。
This paper proposes an indexing algorithm of clustering which supports QBE image retrieval for large image databases.
本文提出了一种有效的支持海量图像数据库Q BE查询的聚类索引算法。
Clustering is a fundamental operation in image processing.
聚类是图像处理中的一个基本操作。
Clustering is a promising application technique for many fields including data mining, pattern recognition, image processing, compression and other business applications.
数据聚类在数据挖掘、模式识别、图像处理和数据压缩等领域有着广泛的应用。
There are four part of it: image input, dealing with image feature, clustering and choosing the best and output the result.
框架由四部分组成：图像输入阶段、图像特征处理阶段、聚类择优阶段和最后的分割结果。
This is an image filter functions are realized, the main application is clustering method.
这是一个图像过滤功能的实现，主要应用的是聚类方法。
To improve the speed of image search, K-means Clustering is used to create the image database.
另外为提高了图像的检索速度，采用K均值聚类索引建立数据库。
Fuzzy clustering is an important branch of fuzzy set theory, and is widely applied in image segmentation.
模糊聚类是模糊理论的一个重要的分支，在图像分割中得到广泛应用。
The paper applies the clustering method in image recognition system.
论文将聚类方法应用于图像识别系统中。
Results: When fuzzy clustering number for 5-6 and fuzzy clustering validity achieved a minimum level of image processing with the best effect.
结果当模糊聚类数为5 ~6时，模糊聚类有效性函数最小，图像处理的效果达到最佳水平。
This kind of unsupervised clustering method can search for the optimal number of output nodes automatically to get the number of textures in the 'image, and finish the automatic segmentation.
这种无监督的聚类方法能够自动搜索最佳的网络输出节点数而获取图像中的目标数，从而完成对图像的自动分割。
In the image analysis, FCM clustering algorithm can be effectively used for image processing, especially for hand-written numeral recognition.
在图像分析处理中，FCM聚类算法可以有效地用于图像处理，特别是手写数字识别中。
Under the application of image segment and clustering analysis methods into 8fsk signal's spectrum analysis, a demodulation algorithm based on pattern recognition is proposed.
通过把图像分割和聚类分析方法应用于8fsk信号的频谱分析，提出了基于模式识别的解调算法。
A method based on fuzzy C-mean clustering and image matching algorithms are proposed to detect atomization Angle and uniformity, applied to performance test-bed of engine nozzle.
提出了基于模糊C均值聚类和图像匹配，检测喷雾锥角和喷雾不均匀度的方法，并应用于发动机喷嘴性能检测。
Proposes an image segmentation algorithm based on perceptual color clustering.
根据视觉的颜色聚类特性，提出一种图像分割算法。
In this paper, the application of suppressed fuzzy clustering algorithm in image segmentation is introduced.
本文给出了模糊聚类算法在图像分割中的应用结果。
In the fourth chapter the analysis for the visual features, the adaptive clustering and the extraction of the image area with the image similar visual brightness are analyzed.
第四章分析了图像视觉特征的邻域矩特征描述，并对邻域矩特征进行自适应聚类提取边界和图像目标的视同灰度的提取。
The classical C-means clustering algorithm (CMA) is a well-known clustering method to partition an image into homogeneous regions.
经典的C -均值聚类算法（CMA）是将图像分割成C类的常用方法，但依赖于初始聚类中心的选择。
Based on choosing reasonable cooling schedule, the objection function for SA is set up according to FCM clustering, and the image segmentation algorithm based on SA and FCM clustering is implemented.
在合理选择冷却进度表的基础上，依据FCM聚类算法建立目标函数，实现了基于SA和FCM聚类的图像分割算法。
As an important classifier, fuzzy clustering technique has been widely used in segmentation of MRI image and became an effective segmentation tool of MR image.
作为一种重要的分类器，模糊聚类技术在磁共振图像的分割中已经得到了成功的应用，并成为了一种有效的磁共振图像的分割工具。
According to the characters of the images, the algorithm separated image into several regions by K-means clustering algorithm, and each region is equalized respectively within their gray levels.
该算法基于图像的特点，利用K均值聚类算法将图像分成几个灰度区间，然后再分别进行均衡化。
Fuzzy C-means clustering is one of the important learning algorithms in the field of pattern recognition, which has been applied early to image segmentation.
模糊c -均值聚类是模式识别中的重要算法之一，很早就被应用到图像分割中。
This thesis deals with gray image. The kernel of segmentation is pixel clustering. It belongs to optimization problem.
本文处理的对象是灰度图像，分割的核心是对像素进行聚类，属于优化问题。
This thesis deals with gray image. The kernel of segmentation is pixel clustering. It belongs to optimization problem.
本文处理的对象是灰度图像，分割的核心是对像素进行聚类，属于优化问题。
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