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对于细胞图像序列中多目标的追踪是细胞运动研究中的难点,针对高密度细胞图像中细胞运动的复杂性,本文提出一个细胞分割和追踪的系统。在细胞分割部分,针对实验所用细胞图像序列的特点,本文分别采用了不同的分割方法。在基本的细胞分割后,由于得到的分割图像存在着一些粘连细胞,为了将之分离,采用了基于Freeman code法对细胞轮廓进行跟踪编码。根据编码所得的链码特征分析细胞的轮廓形态,找出粘连细胞图像中的凹角点,再将凹角点进行分组配对完成粘连细胞的分离。在追踪部分,针对细胞的运动特性,将细胞分为惰性细胞和
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基于纹理分析的图像分割,matlab开发,用entropyfilt,stdfilt等-Image segmentation based on texture analysis, matlab development, with entropyfilt, stdfilt etc.
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基于小波分解的变尺度多分辨率纹理分割Variable scale based on wavelet multi-resolution texture segmentation-Variable scale based on wavelet multi-resolution texture segmentation
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包含了几个图像分割算法,可以借鉴一下,有比较满意的分割效果-image segmentation based on region growth
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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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基于活动轮廓模型的图像分割算法研究,是其中一些子程序,适合初学者研究-Active contour model based image segmentation algorithm, are some of the subroutine, suitable for beginners of
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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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关于pcnn图像分割的VHDL语言编写的程序,使用的是DE2板子-segmentation based on PCNN was implemented by FPGA
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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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Iris segmentation based on integro-differential operator
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基于全局抑制局部兴奋振荡神经网络思想的图像分割方法,-image segmentation based on locally excitatory globally inhibitory oscillator
networks
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Image segmentation based on fusion of edge information and region growing with the use of Markov random fields
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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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