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。
Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.
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。
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.
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。
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.
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；
Second, the method of constructing fuzzy membership function is proposed in image segmentation based on fuzzy mutual information.
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。
A new effective image segmentation algorithm Based on Wavelet Operator is presented, which is tied tightly in Wavelet analysis with Fuzzy, information theory.
基于模糊的多层分割算法。
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 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.
本文给出了模糊聚类算法在图像分割中的应用结果。
In this paper, the application of suppressed fuzzy clustering algorithm in image segmentation is introduced.
该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
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。
This paper presents a chalky rice detection method that is studied based on multi-color conversion and fuzzy threshold segmentation.
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。
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.
提出了多阈值模糊互信息图像分割新方法。
The new image multi-threshold method based on fuzzy mutual information is proposed.
而云的形状复杂、多变且边缘模糊，这也为云图的分割带来困难。
It is difficult to segment and recognize clouds from the infrared satellite cloud images because of its various shapes.
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。
Fuzzy clustering is an important branch of fuzzy set theory, and is widely applied in image segmentation.
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。
This paper presents an image segmentation approach which is based on fuzzy-neural-network hybrid system (FNNHS).
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。
Due to the problems of infrared image segmentation using fuzzy kernel clustering, an improved method for infrared image segmentation was proposed.
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。
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.
结果模糊K- 均值聚类算法能很好地分割出磁共振颅脑图像中的灰质、 白质和脑脊液。
Results Fuzzy K means clustering algorithm can segment white matter, gray matter and CSF better from the MR head images.
从运动分析的角度出发，对所研究的图像序列，提出了一种基于空域—时域连续小波变换（CWT）的模糊分割算法。
The purpose of this paper is to develop a segmentation algorithm for digital image sequence based on spatiotemporal continuous wavelet transform(CWT).
将该模型应用于图像分割，解决了传统模糊art网络图像分割结果随警戒参数的升高而出现的过度分割。
In the application of the image segmentation, the new model solves the over-segmentation of the original Fuzzy ART neural network algorithm due to the vigilance's increase.
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。
Objective to introduce a dynamic fuzzy clustering algorithm and use it to do the study of segmentation of the brain in MRI.
采用改进的FCM算法分割图像，用自动模糊重分布的算法确定隶属度。
The improved FCM algorithm was adopted to segment images, and automatic fuzzy redistribution algorithm to define the subject degree.
该文提出了一种通过最大化二维直方图模糊划分熵分割灰度图像的新算法。
In this paper a novel method is presented to segment gray level image through maximizing the fuzzy partition entropy of two-dimensional histogram.
曲线的墙体将空间分割成了几个微型空间，也让参观者的感觉变得模糊。
The curving walls divide space into several micro Spaces and also guide the visitors' flow.
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。
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.
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。
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。
A fuzzy Markov random field (FMRF) model is established and a new algorithm based on FMRF for image segmentation proposed in this paper.
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