Description: 我自己编写的基于自动细胞机的图像分割算法的源程序，也叫小世界竞争算法。-I have written automated cell-based machine of the source image segmentation algorithms, but also the world叫小competition algorithm. Platform: |
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Author:赵栓峰 |
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Description: ITK入门ppt讲义。ITK 是医学影像分割与配准算法的研发平台。-Ppt lectures of itk . Itk are medical image segmentation and registration algorithm R & D platform Platform: |
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Author:liushengguo |
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Description: Color Image Segmentation
This is the implementation of the algorithm described in
D. Comaniciu, P. Meer,
Robust Analysis of Feature Spaces: Color Image Segmentation,-Color Image Segmentation This is the implementation of the algorithm described in D. Comaniciu, P. Meer, Robust Analysis of Feature Spaces: Color Image Segmentation, Platform: |
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Author:cui |
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Description: The random walker algorithm was introduced in the paper:
Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, p. 230-245, May 15th, 2004, Prague, Czech Republic, Springer-Verlag.
Available at: http://cns.bu.edu/~lgrady/grady2004multilabel.pdf Platform: |
Size: 32768 |
Author:qozm |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the Platform: |
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Author:周二牛 |
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Description: The random walker algorithm was introduced in the paper:
Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, p. 230-245, May 15th, 2004, Prague, Czech Republic, Springer-Verlag.
Available at: http://cns.bu.edu/~lgrady/grady2004multilabel.pdf
Platform: |
Size: 2688000 |
Author:maziyar |
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Description: Matlab interface for the image segmentation algorithm of
Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, 59(2) September 2004. -Matlab interface for the image segmentation algorithm of
Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, 59(2) September 2004. Platform: |
Size: 24576 |
Author:samuraiguy81 |
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Description: 图像分割VC++源代码，2004年Pedro F. Felzenszwalb and Daniel P. Huttenlocher的基于图的高效图像分割算法-Image segmentation VC++ source code, 2004 Pedro F. Felzenszwalb and Daniel P. Huttenlocher efficient image segmentation algorithm based on graph Platform: |
Size: 27648 |
Author:zhujiaojiao |
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Description: 下面这个论文描述的分割算法的实现：
Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, 59(2) September 2004.
这个程序使用彩色图像（PPM格式）并为产生的分割结果的每个区域随机分配颜色。-Implementation of the segmentation algorithm described in:
Efficient Graph-Based Image
Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer
Vision, 59(2) September 2004.
The program takes a color image (PPM format) and produces a segmentation
with a random color assigned to each region. Platform: |
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Author:沙天飞 |
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Description: Contour Detection and Hierarchical Image Segmentation (UC Berkeley)
MATLAB/C++混编
Arbela?ez, P., Maire, M., Fowlkes, C., & Malik, J. (2011). Contour Detection and Hierarchical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(5), 898–916. https://doi.org/10.1109/TPAMI.2010.161(This paper investigates two fundamental problems in computer vision: contour detection and image segmentation. We present state-of-the-art algorithms for both of these tasks. Our contour detector combines multiple local cues into a globalization framework based on spectral clustering. Our segmentation algorithm consists of generic machinery for transforming the output of any contour detector into a hierarchical region tree. In this manner, we reduce the problem of image segmentation to that of contour detection. Extensive experimental evaluation demonstrates that both our contour detection and segmentation methods significantly outperform competing algorithms. The automatically generated hierarchical segmentations can be interactively refined by user-specified annotations. Computation at multiple image resolutions provides a means of coupling our system to recognition applications.) Platform: |
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Author:aa11285
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