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gaussiancurvefit
高斯曲线的拟合可对照学习使用程序比较全面适合电磁波类的人员参考学习(Gaussian curve fitting may be learning to use the control procedures for a more comprehensive type of electromagnetic wave reference study)
- 2008-12-27 03:19:20下载
- 积分：1
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exposure_fusion
利用matlab实现不同曝光成度的图像融合，matlab实现HDR功能(Using matlab to realize image fusion with different exposure degrees, and using MATLAB to realize HDR function)
- 2021-04-09 16:38:59下载
- 积分：1
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591236
说明： 用matlab写的分水岭算法用于图像分割写的不是很好有需要的看看吧(using Matlab was a watershed for image segmentation algorithm was not very good in need and let's see it)
- 2006-03-27 10:56:59下载
- 积分：1
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gmm-cv
OpenCV_基于混合高斯模型GMM的运动目标检测。内附监测监控视频，方便测试使用。(OpenCV_ GMM Gaussian mixture model based moving target detection. Included monitoring surveillance video, easy testing.)
- 2014-02-26 14:47:48下载
- 积分：1
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labview
利用LabViev设计虚拟消噪器，利用小波对信号进行分解，然后设定阈值，再对小波进行重构。(Denoising using LabViev virtual device design, the use of wavelet signal decomposition, and then set the threshold value, then the wavelet reconstructed.)
- 2011-04-25 22:35:48下载
- 积分：1
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1
说明： 数字图象处理的文献资料，可以很好的处理边缘检测的文献(Digital image processing literature, can handle edge is very good detection literature)
- 2014-12-01 14:13:43下载
- 积分：1
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对图形进行特征提取基于Gabor小波变换
对于一幅输入的图形进行特征提取基于gabor小波变换(For an input graphics feature extraction based on wavelet transform gabor)
- 2020-10-29 15:19:58下载
- 积分：1
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recover
运动模糊图像的复原，涉及运动图像的模糊方向和模糊尺度的确定，然后运用维纳滤波(motion blur image recover)
- 2009-10-27 15:40:39下载
- 积分：1
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Aaform
图像变换,处理图片的变换及反走样处理，包含ＶＢ和ＶＣ的源文件(Image transformation, to deal with the change of image and anti-aliasing processing, VB and VC contains source files)
- 2007-12-19 13:48:33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
