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。
A new algorithm of mixed noise removal for digital image is presented combing median filter and fuzzy technology.
结合中值与模糊滤波技术，提出了一种新的图像混合噪声滤波算法。
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。
Fuzzy c-clustering algorithm (FCM) is a useful tool in edge detection of digital image.
模糊聚类算法(FCM)应用于数字图像的边缘检测已取得了较好的效果。
The principle of fuzzy vector quantization (FVQ) for image coding is discussed in this paper, and an exponential fuzzy learning vector quantization algorithm (EFLVQ) is proposed.
本文分析了模糊矢量量化(FVQ)图像编码的原理，提出了一种指数型模糊学习矢量量化算法(EFLVQ)。
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。
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)。
Generalized Fuzzy Operator (GFO) is a new efficient algorithm for edgedetection of an image.
广义模糊算子法是一种用于图象边缘检测的全新而有效的方法。
In light of the need to resume the endoscope image, a new algorithm is put forward, which combines the fuzzy experience-oriented identification algorithm and the idea of hereditary optimization.
针对内窥镜图像恢复的需求，结合模糊先验辩识算法和遗传寻优的思想给出了一种基于模糊遗传算法的图像恢复算法。
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。
Other way is the motion-changed region detection algorithm based on fuzzy entropy clustering in time-differenced image .
第二种方法是基于时差分模糊熵聚类的运动变化区域检测算法。
In view of the welding image feature of strong noise and poor stability, a fuzzy detection algorithm of welding image based on wavelet and morphology denoising was presented.
针对焊接图像噪声大、稳定性差的特点，提出了一种基于小波降噪和形态学模糊检测的算法。
In chapter 5, we propose an image enhancement algorithm in transform field based on fuzzy information processing technique.
第五章提出了一种基于模糊信息处理的图像变换域增强算法。
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。
This article is focus on fuzzy restoration algorithm of blurred image that is induced by relative motion. A degradation function model is proposed to analyze the blurred image.
论文基于模糊算法对由相对运动引起的模糊图像的复原算法进行了研究，阐述了运动模糊图像退化的数学模型。
Aiming at the disadvantage of fuzzy image, by making some analysis about extracting edge feature based on fuzzy contrast enhancement algorithm, two images registration is achieved.
针对模糊图像的弱点，分析了通过增强象素模糊属性对比度来提取边界特征的基本原理，实现了两幅图像的配准。
Without considering the spatial information of images, the original fuzzy C-means algorithm is very sensitive to image noise.
由于原始的模糊c -均值聚类算法没有考虑图像的空间信息，算法对图像中的噪音点十分敏感。
Image fuzzy sets are taken as feature space, and the exact positions are optimized by using 3 layers forward neural network algorithm.
该算法将图像模糊集作为特征空间，尝试了在模糊域中采用3层前向神经网络搜索算法进行精确寻优的方法。
This paper introduces a multi -directions algorithm for image edge detection based on fuzzy mathematical morphology.
本文提出了一种多方向模糊形态学边缘检测算法。
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。
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.
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 this paper, a brief introduction of the traditional algorithm of image enhancement using fuzzy set is presented and the shortcoming of the algorithm is also given.
本文简要地讨论了传统模糊增强算法的原理，并详细讨论了这种算法所存在的缺陷。
In order to get anti-noise and good localization image edges, a new fuzzy multi-scale edge detection algorithm is presented in this paper.
为了获取抗噪性强、定位准确的边缘，本文提出了模糊多尺度边缘检测算法。
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。
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。
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