A new effective image segmentation algorithm Based on Wavelet Operator is presented, which is tied tightly in Wavelet analysis with Fuzzy, information theory.
提出了一种新的有效的图像阈值分割算法。本算法将小波理论，模糊集理论和信息论三者有机的结合起来。
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。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement in order to enhance the contrast of image.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
Second, the method of constructing fuzzy membership function is proposed in image segmentation based on fuzzy mutual information.
其次将模糊互信息量用于图像分割时给出具体隶属度函数的构造；
Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.
最后采用混沌优化法来获得多阈值模糊互信息分割方法的最佳阈值。
The relaxation detecting of effective feature segmentation is studied before matching capability of Scene Matching Algorithm of fuzzy entropy similarity metric can be improved.
研究了有效特征区域的松弛检测方法，对基于模糊熵差的景象匹配算法进行相应后处理，提高了匹配性能。
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。
Multi-level segmentation method based on fuzzy.
基于模糊的多层分割算法。
A new fuzzy membership function is defined in the light of requirements of image thresholding which can overcome the influence on segmentation caused by the classical s function.
算法针对图像阈值化分割的要求构造了一种新的模糊隶属度函数，克服了传统s -函数带宽对分割效果的影响。
In the paper, a suppressed fuzzy c-means (S-FCM) algorithm, for intensity image segmentation, is proposed on the basis of the characters of FCM algorithm and intensity images.
该文根据FCM算法和灰度图像的特点，提出了一种适用于灰度图像分割的抑制式模糊C -均值聚类算法(S - FCM)。
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 this article we combine the fuzzy C-means algorithm with fuzzy measures and fuzzy integrals and apply the two algorithms to the medicinal pathological image segmentation.
本文将经典的模糊c -均值聚类算法和模糊测度和模糊积分结合起来，并将这两种算法应用于医学病理图象的分割。
Image thresholding segmentation method based on fuzzy partition entropy has good segmentation performance and becomes a kind of extensive application method in image segmentation field.
基于模糊划分熵的图像阈值化分割方法因具有良好的分割性能已成为图像分割广泛应用的方法之一。
This paper presents a chalky rice detection method that is studied based on multi-color conversion and fuzzy threshold segmentation.
提出了一种基于多重色彩转换和模糊阈值分割的垩白米检测方法。
At last, the application of the algorithm proposed to head MRI segmentation and comparative experiments to show that the algorithm have great ability of detection the noise and the fuzzy edge.
最后将算法应用到颅脑磁共振的图像分割当中，实验结果表明新算法具有很强的噪声和模糊边界的检测能力。
To overcome the defects of image segmentation by maximum entropy, a new method of image segmentation was presented by using fuzzy maximum exponential entropy based on histogram.
针对最大熵阈值分割算法的计算缺陷，提出了一种基于直方图的模糊最大指数熵阈值图像分割新算法。
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。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement, in order to enhance the contrast of image.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
A fuzzy Markov random field (FMRF) model is established and a new algorithm based on FMRF for image segmentation proposed in this paper.
本文建立模糊马尔可夫场模型，并提出基于模糊马尔可夫场的图像分割新算法。
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。
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 paper presents an image segmentation approach which is based on fuzzy-neural-network hybrid system (FNNHS).
本文提出了一种基于模糊-神经网络混合系统(FNNHS)的图象分割方法。
A new fuzzy thresholding method of image segmentation is presented which is based on the two-dimensional histogram.
把二维直方图方法应用于模糊门限分割中，提出了一种基于二维直方图的模糊门限分割方法。
In order to improve the segmentation performance of images corrupted by impulse noise and Gaussian noise, fuzzy weighted support vector machine is proposed.
针对图像在获取和传输过程中易受各种噪声污染的事实，为了提高支持向量机对噪声图像的分割性能，提出了模糊权重支持向量机。
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。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
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。
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。
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