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GS
说明： GS算法，图像经过多次傅里叶变换，最后提取图像的相位信息，加载空间光调制器，观察图像。(GS algorithm, the image after several Fourier transform, and finally extract the phase information of the image, loading the spatial light modulator, the observed image.)
- 2012-11-06 22:22:25下载
- 积分：1
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ballalongline
小球沿斜线运动,可以扩展到其他程序中，第一次上传，谢谢。(a ball along with a line.)
- 2013-11-17 20:53:20下载
- 积分：1
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iris
虹膜识别的完整程序，有图片，有说明，可以用(The integrity of the iris recognition process, there are pictures, there are shows that can be used)
- 2009-04-13 16:38:52下载
- 积分：1
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matlab手势识别
说明： 基于matlab的简单手势识别代码，初学者可自行下载。(Simple gesture recognition code, beginners can download.)
- 2020-02-26 17:27:22下载
- 积分：1
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Chapter3
图形处理，Visual C++图形编程技巧与实例源代码3(Graphics Visual C++ graphics programming techniques and source code examples
3)
- 2012-02-29 11:16:21下载
- 积分：1
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morpher_source.tar
File from feature-based image metamorphosis
- 2011-07-10 17:11:35下载
- 积分：1
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newGS
激光光束的整形，用于将高斯光束整形成均匀光束，采用GS算法(Laser beam shaping, for forming a uniform whole beam Gaussian beam using GS algorithm)
- 2020-06-30 12:40:01下载
- 积分：1
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gmm
混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)
- 2014-03-25 09:01:12下载
- 积分：1
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数字图像处理matlab版源码
说明： 这是冈萨雷斯经典教材数字图像处理（MATLAB版）的所有源代码，很辛苦才获得的(This is a classic textbook Gonzalez Digital Image Processing (MATLAB version) all the source code, it is hard before they are allowed to)
- 2010-03-18 22:05:06下载
- 积分：1
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DE
说明：
最简单的差分格式有向前、向后和中心3种。
向前差分：f (n)=f(n+1)-f(n)
向后差分：f (n)=f(n)-f(n-1)
中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers.
Forward differencing: f (n) = f (n+ 1)-f (n)
Backward difference: f (n) = f (n)-f (n-1)
Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)
- 2016-05-17 21:08:01下载
- 积分：1
