搜索资源列表
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一个基于图形的高效图像分割算法，包括论文及相应的源代码。-This paper addresses the problem of segmenting an image into regions. We define a predicate for
measuring the evidence for a boundary between two regions using a graph-based representation of the image. We
then develo
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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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这是基于图论的图像分割源代码，效果很好，欢迎下载.-This is based on graph theory image segmentation source code, works well, welcome to download.
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图像分割加特征提取的算法，一起分享，共同研究，共同进步-Add feature extraction image segmentation algorithms, along with sharing, joint research, and common progress
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K均值算法实现图像的分割，分割效果可以达到预期的效果-K-means algorithm to achieve image segmentation, segmentation results can be achieved the desired results
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车牌识别 MATLAB 字符分割 源代码 图像处理 -Image-segmentation-Extraction
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MATLAB图像分割提取算法源代码（示例车牌识别）-Extraction Algorithm for Image Segmentation MATLAB source code (sample license plate recognition)
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在HSV色彩空间进行彩色图像分割源码，包括学习和训练算法，获得分割参数-In the HSV color space for color image segmentation source code, including learning and training algorithm, access to segmentation parameters
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This literature review attempts to provide a brief overview of some of the most common segmentation techniques, and a comparison between them. It discusses the “Grab-Cut” technique, and reviews some some of the common matting techniques. The graph cu
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matlab图像分割实例，K均值用于图像分割，割调用库函数实现，带注释，简单易懂-matlab image segmentation examples, K means for image segmentation, cutting calls library functions, with comments, easy to understand
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VB编程开发分割图像设计程序代码VB Programming design code image segmentation
-VB Programming design code image segmentation
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image segmentation introduction and various methods
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台湾大学几位学者写的基于K-均值算法的快速图像分割，用到基于HSV颜色空间的直方图-Fast Image Segmentation Based on K-Means
Clustering with Histograms in HSV Color Space
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五种当前主要的基于图的图像分割方法（normalized cut, min-cut/max-flow, isoperimetric partitioning, minimum spanning tree and random walker）的论文原文。-The original papers of five main graph-based image segmentation methods. They are normalized cut, min-cut/max-flow, isoperi
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介绍了图像变换，图像增强编码和图像分割及识别等内容，是很好的学习资料。-Describes the image transform, image enhancement and image segmentation and identification codes, etc., is a good learning materials.
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对MR脑肿瘤图像进行分割,并对分割的结果进行矩描述。方法 在分析当前常用的医学图像分割方法
的基础上,提出一种基于形变模型的医学图像分割方法,并给出了相应的理论算法模型和实现步骤,最后用Visual C ++
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-MR images of brain tumor segmentation, and segmentation results Moment. Methods used in the analysis of the current
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对图像的区域生长进行分割，包括matlab程序和图像-Region growing image segmentation, including procedures and image matlab
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image segmentation methode
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applies normalized cut on graph obtained from image and segment the image into specified number of regions.
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包括了数字图像处理中的图像分割若干MATLAB代码(digital image processing using matlab of image segmentation)
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