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基于二维灰度直方图的双阈值最大模糊熵图像分割法源代码，VC++编写-Based on two-dimensional histogram of the dual-threshold maximum fuzzy entropy image segmentation method source code, VC++ to prepare
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K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
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二型模糊聚类算法实现医学脑部组织图像分割-The algorithm of type-2 fuzzy clustering achieved the segmentation of medical image
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Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work pre
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通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
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FCM 模糊C均值聚类算法。使用说明：这是一个可以人机交互的FCM算法，首先使用鼠标圈定一个矩形区域，则算法自动施加于目标区域:) Have Fun :)-FCM fuzzy C means clustering algorithm. Usage: This is a can of HCI FCM algorithm, the first to use the mouse a rectangular area delineation, the algorithm automatically im
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模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
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Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
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We present a video caption detection and recognition
system based on a fuzzy-clustering neural network (FCNN) classifier.
Using a novel caption-transition detection scheme we locate
both spatial and temporal positions of video captions with hig
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matlab图像分类分割编程
利用matlab 的fuzzy分类为图像分类编写的matlab程序-image classification segmentation matlab programming
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基于GFO和标记点分水岭算法的医学图像分割
利用基于广义模糊算子 GFO 的边缘检测算法来改进标记点分水岭分割 很有用-GFO and marking points on the watershed algorithm for medical image segmentation based on generalized fuzzy operator GFO edge detection algorithm to improve the marking point of the waters
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利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。-The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network trainin
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fcm用于进行模糊C均值分割，得到的效果还不错-fcm for fuzzy C-means segmentation, the results have been good
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在单层模糊图像增强算法的基础上的一种改进图像分割分法-In the single-layer fuzzy image enhancement algorithm based on a points system to improve image segmentation
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模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
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采用模糊聚类算法和加核模糊聚类算法进行医学图像的分割。采用matlab编程，界面处理较好。
-Using fuzzy clustering algorithm and processing of nuclear fuzzy clustering algorithm for medical image segmentation. Using matlab programming, interface, better handling.
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在matlab平台下实现的FCM（模糊C均值）聚类分割-In the matlab platform to achieve FCM (fuzzy C mean) clustering segmentation
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fuzzy-c-mean image segmentation
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f_seg.m proggram of fcm segmentation
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采用基于模糊连通度图像分割算法，对象进行分割。-Connectivity based fuzzy image segmentation, object segmentation.
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