网站首页

第6次课程序

于 2019-04-10 发布文件大小:45KB

 0  222

下载积分: 1 下载次数: 6

我要下载

代码说明：

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.)

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

pngToGif
静态图片转化为动态图片，把静态的图片转化为动态的(convert PNG picture to GIF picture)

2016-12-01 09:30:54下载

积分：1
chayingfa
说明：根据差影法采取视频中两帧进行对比，得出差别的地方进行目标特征提取(Comparison of two frames in video based on difference method,And get the difference to extract the target features)

2020-04-29 12:38:59下载

积分：1
huffman
对图像进行哈夫曼编码并且能够解码，可以在命令行中选择图像地址(Huffman encoding and decoding of images)

2019-04-08 20:49:14下载

积分：1
卷积特征可视化
说明：利用卷积神经网络进行特征提取，并将卷积特征可视化(Feature extraction using convolutional neural networks and visualization of convolution features)

2019-03-06 12:07:28下载

积分：1
ssr1
基于Retinex算法的单尺度图像增强算法。(An image enhancement algorithm based on RETINEX theory.)

2020-06-23 04:40:02下载

积分：1
数字图像处理——使用MATLAB分析与实现
说明：本压缩包主要包括数字图像处理——使用MATLAB分析与实现的源代码(This compression package mainly includes digital image processing - using MATLAB analysis and implementation of the source code)

2021-01-25 19:27:43下载

积分：1
Vehicle-License-Plate-Localisation-r
车牌识别，图像分割出车牌，然后进行具体识别，matlab源代码(vehicle license plate recognition)

2019-06-27 17:27:50下载

积分：1
tikhonov
该算法用于求解线性病态逆问题，同时该算法已经过实际验证，重建结果较好，希望对大家有所参考。(The algorithm for solving linear pathological inverse problem, at the same time, the algorithm was validated through actual and reconstruction results are good, hope to be of reference.)

2016-12-05 11:49:16下载

积分：1
xbsf
小波算法。机械化的提高我们的效率。让我们减少错误率。大家要对她有性心。(Wavelet algorithm. Mechanization to improve our efficiency. Let us reduce the error rate. We have to have sex to her heart.)

2013-12-03 21:36:15下载

积分：1
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

696516资源总数
106611会员总数
19今日下载

第6次课程序

0 个回复

热门标签

热门下载