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zuidashang14
最大熵，求概率密度分布。目前的程序问题，是初始值选取需要完善。希望高手能解决。(The maximum entropy seeking probability density distribution. The current program, the initial value selected to be perfected. Expert can solve.)
- 2021-04-01 17:29:08下载
- 积分：1
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compute_E
该程序利用MATLAB语言计算本质矩阵和基本矩阵，其中有用到ransac八点算法(The program utilizes the MATLAB language, the nature of the matrix and the fundamental matrix, which is useful to ransac eight algorithms)
- 2013-04-15 17:24:01下载
- 积分：1
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bandlets-denoising-atrou
bandelet 去噪，包含blsgsm和平移不变去噪，不过对大图像需要的内存比较大(bandelet denoising, including blsgsm and translation invariant denoising, but for large images need more memory)
- 2007-08-23 15:43:23下载
- 积分：1
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RVM-hyperspectral
基于相关向量机的高光谱图像分类算法，functions中是用到的函数，另一个文件夹是主程序。(RVM hyperspectral image classification algorithm, functions are functions used, another folder is the main program.)
- 2017-02-16 12:53:51下载
- 积分：1
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98765
在桌面上显示图像，C++Builder精选编程学习源码，很好的学习资料。(Image display on the desktop, C++Builder select learning programming source code, very good learning materials.)
- 2013-11-23 11:10:14下载
- 积分：1
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capture_camera
说明： 图像凭借代码，捕获摄像头进行图像拼接。利用柱面投影的方式进行投影，然后对图像进行拼接。(image stitching program)
- 2019-12-17 17:43:34下载
- 积分：1
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第6次课程序
说明： 将两张图像进行图像相减或相处，使两张图片叠加。(The two images are subtracted or coexisted, so that the two images are superimposed.)
- 2019-04-10 21:44:48下载
- 积分：1
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Gabor和Log Gabor
说明： 包括三种gabor方案，3尺度4方向、4尺度6方向、5尺度8方向(Includes three gabor schemes, 3 scale 4 direction, 4 scale 6 direction, 5 scale 8 direction)
- 2019-05-30 19:38:12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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Exercises
2014年西安电子科技大学数字图像处理上机实验，同时是研究生和本科生的代码及作业
(2014 Xi' an University of Electronic Science and Technology of digital image processing experiments on board, while the graduate and undergraduate students and job code)
- 2014-01-27 17:37:16下载
- 积分：1
