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用标记-分水岭算法对输入图像进行分割
This the implementation of the algorithm based on immersion model.-Markers-watershed algorithm, the image segmentation This is the implement ation of the algorithm based on immersion model .
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edge-based active contour segmentation
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基于彩色分割的汽车牌照识别
基于彩色分割的汽车牌照识别基于彩色分割的汽车牌照识别-segmentation based on the color of the vehicle license identification based on color segmentation in vehicle license identification based on color segmentation of the vehicle license as identification
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基于lab色彩空间的k-means彩色图像分割算法-color picture segmentation based on lab color－space and k-means
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基于马尔科夫随机场的SAR图像分割方法，对应于采用最大后验概率准则对SAR目标切片图像分割，采用聚类分析算法求解。-SAR image segmentation based on Markov random fields, which corresponds to using the maximum posterior probability criteria for SAR Target Chip Image segmentation using cluster analysis algori
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基于正交矩的纹理分割，介绍了旋转矩，正交矩，ledengre矩等。-Texture segmentation based on orthogonal moments, rotational moments, orthogonal moments, ledengre moment and so on.
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多种基于阈值的图像分割方法，助于对基于阈值的图像分割技术有深入的学习研究-Various kinds of Image Segmentation based on threshould
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对图像进行二值分割处理，实现前景物体和背景的分离。-This programe conducts image segmentation based on binarization method to seperate the foreground object from the backgroud.
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图像多阈值分割之基于智能阈值技术的图像分割-Image multi-threshold segmentation of image segmentation based on intelligent thresholding techniques
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多类 kmeans 图像分割，基于灰度的图像分割。-Kmeans image segmentation, segmentation based on gray-scale images.
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通过几个例子介绍图像分割的几种方法，适合初学者学习-Through several examples introduce several methods of image segmentation, suitable for beginners to learn
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基于粒子群的阈值分割，毕业设计里的一部分，分割效果良好-Threshold segmentation based on particle swarm, part of the graduation design in the segmentation effect is good
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new mathematical and algorithmic framework for unsupervised image segmentation, which is a critical step in a wide variety of image processing applications. We have found that most existing segmentation methods are not successful on histopathology im
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这是一个基于c语言的在cvi9.0上运行的自动阈值分割.-This is an automatic threshold segmentation based on cvi9.0 running c language.
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基于紧框架的血管结构的图像分割，是一篇最近的SCI论文，其中详述了紧框架理论和在图像分割中的应用-Image segmentation based on the vascular structure of the tight framework of SCI is a recent paper, detailing the tight framework of the theory and application of image segmentation
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基于WFCM的最优阈值图像分割 阈值化是图像分割中广泛应用的一种有效工具。基于类别可分性准则的Otsu法是性能良好且受到普遍欢迎的自动阈值选择方法。Otsu方法与c均值聚类算法的准则在一定条件下是等价的，而c均值聚类算法还可以快速实现分割问题。目前人们提出了很多基于c均值聚类准则的图像阈值化方法，其中模糊c均值（FCM）是最流行的算法之一。但是FCM算法没有考虑样本矢量间对聚类效果的不同影响，因而使用加权模糊c均值（WFCM）来解决这个问题。-Optimal threshold image se
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将K-means聚类算法应用于图像的分割，留有较多的其他特征接口。-The K-means clustering algorithm is applied to image segmentation, leaving more other features of the interface.
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A Neutrosophic Image segmentation based on watershed e paper
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基于马尔科夫随机过程的图像分割 matlab平台(Image segmentation based on Markov random process)
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基于opencv的道路图像语义分割，用全卷积网络实现的(Road image semantics segmentation based on OpenCV and implemented by full convolution network)
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