搜索资源列表
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基于纹理度量的图像分割，适用于遥感图像，主要利用到K-mean算法。-Image segmentation based on texture measurement for remote sensing image, the main advantage of K-mean algorithm.
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一种基于图像分割和归一化灰度Hough变换的SAR图像舰船尾迹CFAR检测算法-Image segmentation based on gray scale and normalized Hough transform SAR ship wake image CFAR detection algorithm
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delphi图像分割中的基于FCM算法的图像分割方法-delphi image segmentation based on FCM Algorithm for Image Segmentation
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为了提高算法的执行效率, 应用粒子群算法求取图像中任意两点间最短路径来定位目标边界, 并与经典的基于Dijkstra 动态规划图搜索的Liv e Wire 算法进行比较.-In order to improve the efficiency of the algorithm, particle swarm algorithm to strike any of images to locate the shortest path between two object boundaries, and
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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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This paper proposes a new color image segmentation algorithm based on the
JND (Just Noticeable Difference) histogram. Histogram of the given color image
is computed using JND color model.
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基于彩色图像分割的机器人足球目标识别-Color image segmentation based on object recognition in robot soccer
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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 ++
6·0编程,并对MR脑肿瘤图像进行分割实验
-MR images of brain tumor segmentation, and segmentation results Moment. Methods used in the analysis of the current
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基于graph cuts的图像分割的示例-Image segmentation based on graph cuts the sample
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图像分割 matlab 直接运行 基于k均值-Matlab image segmentation based on k-means run directly
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一种融合了色彩信息和空间信息的色彩分割算法，基于OpenCv，分割效果明显优于JSEG算法，K-means算法C-means算法等常见算法，是中科院863计划的项目，我进行了修改和平台移植，有详细的注释。-a efficient algorithm for colorful pic segmentation based on OpenCv
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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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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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