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canga-image-fusion-code
图像融合工具包，适合各种图像的融合，希望对你有所帮助(Image Fusion Toolkit for the integration of a variety of images, I hope for your help)
- 2009-02-19 14:56:12下载
- 积分：1
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Moravec_corrlation
moravec算子提取特征点，然后用相关度进行匹配(moravec operator feature point extraction, and then match the correlation)
- 2021-04-22 15:48:48下载
- 积分：1
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GRABCUT
matlab与C++混编的grabcut分割程序，只需画框即可提取目标(grabcut algorithm)
- 2020-11-25 23:39:32下载
- 积分：1
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image_mva
基于图像的纹理特征参数的MVA的提取，该方法使用方便，理解简单。(Image-based texture feature extraction parameters of MVA, the method easy to use, easy to understand.)
- 2010-02-23 20:13:57下载
- 积分：1
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meanshift
mean shift功能演示，实现图像分割，具体请看效果(the demonstration of the mean shift algorithm)
- 2009-12-18 19:39:09下载
- 积分：1
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iris_image_segmentation
图像分割在医学图像，智能识别上的应用，虹膜识别(Image segmentation in medical imaging, intelligent recognition on the application of iris recognition)
- 2008-04-26 11:15:19下载
- 积分：1
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TGV-based--algorithm-
对于传统去噪模型的大幅改进，之前的模型都会出现阶梯效应的现象，采取了新的模型对图像进行建模，有效改善了图像去噪图像修复等过程中引入的阶梯效应，而且一定程度上对于图像纹理的修复也有很大的作用(For significantly improve the traditional de-noising model, the model will appear before the phenomenon of the staircase effect, to take a new model for image modeling, effectively improved the staircase effect denoising image restoration process introduced, and to a certain extent for texture of repair also has a significant role)
- 2015-11-27 13:10:39下载
- 积分：1
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sift2
SIFT特征提取
http://www.opencvchina.com/forum.php?mod=viewthread&tid=209&fromuid=267
(SIFT feature extraction http://www.opencvchina.com/forum.php?mod=viewthread& tid=209& fromuid=267)
- 2012-08-19 15:09:14下载
- 积分：1
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POCS
基于凸集投影算法的超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。(To improve the computational accuracy and efficiency in the existing algorithms based on super-resolution image reconstruction algorithm based on projections onto convex sets algorithm.)
- 2021-03-08 16:29:28下载
- 积分：1
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图像拼接---去除黑边
说明： 使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)
- 2019-04-02 15:24:23下载
- 积分：1
