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。
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。
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。
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。
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。
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。
A modified FCM algorithm for fire image segmentation is proposed in this paper based on the study of fuzzy clustering algorithm and characteristics of fire images.
本文在研究模糊聚类算法和火灾图像特点的基础上，提出了一种基于改进FCM算法的彩色火灾图像分割方法。
Objective: To discuss the best fuzzy clustering number of MRI brain images segmentation.
前言：目的探讨颅脑mri图像模糊聚类分割算法中最佳模糊聚类数。
An improved color segmentation algorithm is presented based on weighting fuzzy c-means (FCM) clustering algorithm.
在加权模糊c -均值(FCM)聚类算法的基础上，对分色算法进行了改进。
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。
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。
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