文件名称:work
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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非惰性细胞，分别采用区域重叠法和拓扑约束法进行追踪。针对高密度细胞追踪中由于细胞密集加上细胞分裂很容易导致错误追踪的问题，本文提出将面积项引入实现追踪的拓扑约束条件中，对原方法进行改进，有效的解决了这一问题，有助于提高追踪效率，特别是对于细胞密度比较大，且分裂频繁的细胞图像效果明显。另外，本文提出根据细胞数量设置产生图的距离门限，使算法的适用性更强 。-For cells in image sequences multi-objective tracking is cells, the difficulty in the studies of cellular density cell image motion complexity, this paper puts forward a cell division and tracking system. In the cell division, according to the characteristics of image sequence cells, this paper adopts a different method. In the basic cell division, because the segmentation image exists some adhesion to the separation of cells, using the method of Freeman code based on contour tracking code. According to the characteristics of the chain code coding analysis, find the outline of cells in the cell adhesion, concave edges concave angular point pairs finished adhesion cell group. In part, according to the characteristic and cells
相关搜索： freeman chain code matlab
freeman
图像序列 分割
image segmentation based on motion
cell segmentation matlab code
matlab cell segmentation
freeman chain code in matlab
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work/candidate.m
work/dist.m
work/dist_angle.m
work/flows.m
work/ID_link.m
work/ID_link1.m
work/ID_link4.m
work/IEEEXplore[1].pdf
work/match2.asv
work/match2.m
work/match21.asv
work/match21.m
work/segframe1.tif
work/segframe10.tif
work/segframe100.tif
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work/segframe97.tif
work/segframe98.tif
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work/weight.m
work
work/dist.m
work/dist_angle.m
work/flows.m
work/ID_link.m
work/ID_link1.m
work/ID_link4.m
work/IEEEXplore[1].pdf
work/match2.asv
work/match2.m
work/match21.asv
work/match21.m
work/segframe1.tif
work/segframe10.tif
work/segframe100.tif
work/segframe11.tif
work/segframe12.tif
work/segframe13.tif
work/segframe14.tif
work/segframe15.tif
work/segframe16.tif
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work/segframe2.tif
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work/segframe24.tif
work/segframe25.tif
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work/segframe29.tif
work/segframe3.tif
work/segframe30.tif
work/segframe31.tif
work/segframe32.tif
work/segframe33.tif
work/segframe34.tif
work/segframe35.tif
work/segframe36.tif
work/segframe37.tif
work/segframe38.tif
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work/segframe40.tif
work/segframe41.tif
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work/segframe64.tif
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work/segframe66.tif
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work/segframe7.tif
work/segframe70.tif
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work/segframe72.tif
work/segframe73.tif
work/segframe74.tif
work/segframe75.tif
work/segframe76.tif
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work/segframe78.tif
work/segframe79.tif
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work/segframe82.tif
work/segframe83.tif
work/segframe84.tif
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work/segframe86.tif
work/segframe87.tif
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work/segframe9.tif
work/segframe90.tif
work/segframe91.tif
work/segframe92.tif
work/segframe93.tif
work/segframe94.tif
work/segframe95.tif
work/segframe96.tif
work/segframe97.tif
work/segframe98.tif
work/segframe99.tif
work/weight.m
work
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