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winform 全屏轮播图片效果 完整源码
全屏轮播广告效果实例
- 2013-03-05下载
- 积分：1
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contourlet
利用contourlet变换、小波变换等方法，进行图像去噪，经过调试，完全可以运行，效果不错(Contourlet transform, wavelet transform methods for image denoising, debugging, can run, good results)
- 2012-03-09 20:06:22下载
- 积分：1
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CurveLab-2.1.2.tar
说明： Matlab曲波变换工具箱，安装在matlab上，可以应用曲波变换(Matlab curvelet transformation toolbox)
- 2020-04-13 22:26:18下载
- 积分：1
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EM-MRF-ICM
基于EM-马尔科夫随机场-ICM的图像分割程序，很好的学习代码(EM-based Markov random-ICM image segmentation procedures, good learning code)
- 2013-11-14 23:10:39下载
- 积分：1
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lowfrefus
基于区域方差的加权融合方法，主要解决原始图像分解的低频成分的结合(Weighted fusion method based on regional variance)
- 2020-09-03 17:08:08下载
- 积分：1
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1254896
利用小波变换的去噪程序！和中值滤波进行对比！(The use of wavelet transform denoising procedure! And median filtering comparison!)
- 2013-11-23 12:20:05下载
- 积分：1
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MarchingCubes
三维表面重建算法，matchingcube快速算法。(3D surface reconstruction algorithm)
- 2021-01-27 12:38:41下载
- 积分：1
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change
将一个图像的感兴趣区域替换到另一张图像的相同区域中(Will replace the region of interest of an image to another image of the same region of the)
- 2015-04-27 16:58:30下载
- 积分：1
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detect
用于矩形检测的源代码，已配说明，易看懂。但不适合于车牌检测等复杂的矩形检测(Rectangular detection for the source code has been assigned that easy to understand. But not suitable for detection of license plate detection rectangular complex)
- 2009-07-03 10:39:26下载
- 积分：1
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cvpr12_mfc
cvpr2012_oral
On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation
problem called multiple foreground cosegmentation
(MFC), which concerns a realistic scenario in general Webuser
photo sets where a finite number of K foregrounds of
interest repeatedly occur over the entire photo set, but only
an unknown subset of them is presented in each image. This
contrasts the classical cosegmentation problem dealt with
by most existing algorithms, which assume a much simpler
but less realistic setting where the same set of foregrounds
recurs in every image. We propose a novel optimization
method for MFC, which makes no assumption
on foreground configurations and does not suffer from the
aforementioned limitation, while still leverages all the benefits
of having co-occurring or (partially) recurring contents
across images. Our method builds on an iterative scheme
that alternates between a foreground modeling module and
a region assignment module, both highly efficient and scalable.
In part)
- 2012-12-06 19:38:33下载
- 积分：1
