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Community_BGLL_Matlab
这个是一个非常好的社区发现算法，该算法社区发现的精度非常高。(this is a algorihtm about community detection)
- 2017-06-30 17:00:18下载
- 积分：1
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tuxiang
利用克隆选择和粒子群算法实现图像分割 有很好的分割效果。经过多次验证实践。(Clonal selection and particle swarm algorithm has a good image segmentation segmentation. After several rounds of verification practice.)
- 2010-07-01 11:05:57下载
- 积分：1
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2083627指纹识别
指纹图像预处理、特征提取、特征匹配的matlab程序及处理结果(Fingerprint image preprocessing, feature extraction, feature matching matlab program and processing results)
- 2019-04-06 20:36:12下载
- 积分：1
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dct-svd
digital color image watermarking based on dct-svd usinf differential evolution
- 2015-03-22 20:01:07下载
- 积分：1
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haar__like
本代码是使用matlab编写的harr特征的代码，值得大家研究和参考(This code is the use of matlab prepared harr characteristics of the code, it is worth study and reference)
- 2013-06-07 16:40:11下载
- 积分：1
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two-number
该程序能够实现图像的二值化，基于C语言的。实现的效果很好(The program to achieve a binary image, based on C language. Achieve a good effect)
- 2012-07-05 14:12:03下载
- 积分：1
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ch1
document about computer vision - image processing
- 2013-08-19 18:01:58下载
- 积分：1
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FractalDim
分形算法中的分形维数的源代码(Fractal dimension)
- 2011-11-23 15:35:12下载
- 积分：1
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0987542
说明： 一个声纹识别的全代码,包括语音信号的预处理,建模,和识别(Voiceprint identification of a full code, including the speech signal pre-processing, modeling, and identification)
- 2009-08-06 15:52:39下载
- 积分：1
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Code自适应
传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)
- 2018-10-24 15:04:08下载
- 积分：1
