A clustering segmentation algorithm based on an improved K-means clustering method is used to improve the efficiency and accuracy of 3d medical image segmentation.
为提高三维医学数据场的分割效率和准确率，本文利用特征聚类技术，提出了一种新的基于改进K - means聚类的三维医学数据场的体分割算法。
This is supported by the comparison with the results of hierarchical clustering segmentation of point cloud model and K-Means clustering segmentation of mesh model.
与三维网格模型的K均值聚类分割、点云模型的谱系聚类分割的实验结果比较证实了这一点。
An efficient segmentation method based upon fuzzy c-means (FCM) clustering principles is proposed. The approach utilizes a pyramid data structure for the hierarchical ana - lysis of color images.
这里提出了一种高效的基于模糊c均值(FCM)聚类的彩色图像分割方法，它利用塔形数据结构对彩色图像进行多层分割。
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。
This paper introduced algorithms for video segmentation and scene clustering.
本文介绍了实现视频分割和场景聚类的算法。
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。
Objective to introduce a dynamic fuzzy clustering algorithm and use it to do the study of segmentation of the brain in MRI.
目的介绍一种动态模糊聚类算法并利用该算法对磁共振图像进行分割研究。
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。
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。
Color clustering is used to segment the fabric image, and a new algorithm of warp yarn segmentation is proposed to perform the identification more precisely.
为了提高单层组织自动识别的精度，运用颜色聚类等方法分割织物样图，并提出了一种经纱分割算法，实现了经纬纱线的准确分割。
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。
It is a procedure of the label following an unsupervised fuzzy clustering that fuzzy c-means (FCM) algorithm is applied to image segmentation.
算法用于图像分割是一种非监督模糊聚类后再标定的过程。
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。
Mean shift is an effective iterative algorithm widely used in clustering, tracking, segmentation, discontinuity preserving smoothing, filtering, edge detection, and information fusion etc.
均值平移是一种有效的统计迭代算法，已广泛应用于聚类分析、跟踪、图像分割、图像平滑、滤波、图像边缘提取和信息融合等方面。
It applies weighted K-means clustering for region segmentation, instead of traditional K-means clustering.
对于区域分割，使用基于加权平方欧式距离的均值聚类算法代替传统的均值聚类算法。
Currently, there are some applications of clustering algorithms in customer segmentation of bank for experiments.
目前已有一些聚类算法应用于银行客户细分的实验。
Firstly, nucleus regions of leukocytes in images are automatically segmented by K-mean clustering method. Then single leukocyte region is detected by utilizing thresholding algorithm segmentation.
首先，运用K-均值聚类方法提取出细胞核，并且采用多域值分割演算法去除细胞图像中的背景区域。
The issues such as image correspondence, clustering, segmentation and vectorization involved in remote sensing are discussed.
完成了遥感图像配准、聚类、分割和向量化等功能。
Then the thesis introduces the fuzzy clustering approach's advantage and how it can be used in customer segmentation.
然后分析模糊聚类方法的优点，以及在客户细分中的适用性。
Aimed at the automatic color segmentation of topographic maps, a new effective fuzzy clustering algorithm is presented.
针对彩色地形图的自动分色问题，提出了一种新的模糊聚类算法。
This paper presents a novel spectral clustering approach to motion segmentation based on motion trajectory.
本文提出了一种新的谱聚类方法基于运动轨迹的运动分割。
On the basis of HSL color model, a defect segmentation method based on fuzzy color clustering is proposed.
在hsl颜色模型的基础上，提出了基于模糊颜色聚类的缺陷分割方法。
Due to the problems of infrared image segmentation using fuzzy kernel clustering, an improved method for infrared image segmentation was proposed.
针对模糊核聚类对红外图像分割存在的不足，提出了一种改进的模糊核聚类红外图像分割算法。
Clustering or segmentation of data is an important data mining application.
数据聚类或分割就是其中的一种重要的数据发掘应用。
This paper analyses the clustering technology in data mining and its current research status in customer segmentation.
本文分析了数据挖掘中的聚类技术以及聚类技术在客户细分领域中的研究现状。
Based on the border in the shot clustering algorithm, we proposed the method of using the camera frame color image characteristics and the overall situation of movement to the scene segmentation.
在基于镜头边界的聚类算法基础上，提出了利用镜头帧图像的全局颜色特征和运动特征来分割场景的方法。
Based on the border in the shot clustering algorithm, we proposed the method of using the camera frame color image characteristics and the overall situation of movement to the scene segmentation.
在基于镜头边界的聚类算法基础上，提出了利用镜头帧图像的全局颜色特征和运动特征来分割场景的方法。
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