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碎纸片拼接
实现不规则形状碎纸片的拼接，并展示出原图像(The splicing of irregular shaped pieces of paper is realized and the original image is displayed.)
- 2020-12-18 14:09:11下载
- 积分：1
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SFLCT_SML_fusion
说明： 改进拉普拉斯能量和的尖锐频率局部化
Contourlet 域多聚焦图像融合方法(Sum-modified-Laplacian-based Multifocus Image
Fusion Method in Cycle Spinning Sharp Frequency
Localized Contourlet Transform Domain)
- 2011-03-01 10:07:55下载
- 积分：1
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TurboPixels
利用turbopixel的超像素图像分割方法，可以显示不同块的颜色。(This is a mex c and matlab code, which uses the turbopixel to segment the object from the image.
)
- 2012-04-09 14:20:38下载
- 积分：1
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FastICA_Kurt
这个算法是基于峭度的快速不动点算法，混合方式是线性瞬时混合，适定情况，该算法收敛速度较梯度算法快，很实用。(failed to translate)
- 2013-05-08 18:09:53下载
- 积分：1
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demo
用神经网络方法筛选图片，从而判断某一图片是否存在病变(Neural network)
- 2012-06-10 08:13:58下载
- 积分：1
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Google-DoodleCssSprite
Google Doodle推出了一款极其炫酷的LOGO，整个LOGO使用了CSS Sprite技术，利用一个初始图片和一张画满各个动作的拼接图片，实现了动画，而非传统的GIF动画图像(Google Doodle launched a very cool LOGO, LOGO using CSS Sprite entire technology, the use of an initial picture and a painting full picture stitching each action to achieve the animation, instead of the traditional animated GIF images)
- 2014-04-08 14:53:35下载
- 积分：1
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VCdetuxingchuli
VC的图形处理以及简单的程序设计，简单易懂(VC graphics processing and simple program design, simple and understandable
)
- 2011-12-13 16:41:34下载
- 积分：1
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l1_ls
求解l1范式的值，用于压缩感知中的稀疏表示。进行分类(Solving the value of l1 paradigm for compressed sensing of sparse representation. Classification)
- 2011-11-14 17:53:34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
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encrypt-a-decrypt
encryption and decryption of image using bit XOR..
- 2013-08-14 18:17:31下载
- 积分：1
