-
Image-fusion--based-on-Matlab
matlab 用于图像融合的论文,有各种算法源代码(papers, matlab for image fusion algorithm source code)
- 2013-03-09 09:22:53下载
- 积分:1
-
bmpscrollview
用于BMP图像文件的滚动显示,带上下和水平滚动条。(This file is used to display BMP image files, with up-down and horizontal scroll bars.)
- 2013-07-10 16:44:33下载
- 积分:1
-
NLTV_WI_v1
非局部全变分小波域图像修复代码,实现算法WAVELET INPAINTING BY NONLOCAL TOTAL VARIATION,Xiaoqun Zhang,Tony F. Chan,Inverse Problems and Imaging,2010,4(1)(Non-local full variational wavelet domain image repair code algorithm WAVELET INPAINTING BY NONLOCAL TOTAL VARIATION Xiaoqun Zhang, Tony F. Chan, Inverse from and Imaging, 2010,4 (1))
- 2012-12-06 21:00:50下载
- 积分:1
-
My_CA_CFAR
基于伽马分布的极化SAR图像CFAR检测算法的研究与实现(gamma distribution CFAR detection)
- 2021-03-05 15:49:31下载
- 积分:1
-
AGCWD
來自於2012年IEEE TIP的論文 Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution ,其功能為透過分析影像中的直方圖統計資訊,達到快速增強影像對比的結果。(From the 2012 IEEE TIP paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution"which functions as a histogram of the image by analyzing statistical information, to quickly enhance image contrast.)
- 2021-01-27 16:48:42下载
- 积分:1
-
Duality-Splitting-L1-TV
用对偶分裂算法处理乘性噪声如盐椒噪声(L1+TV),参数由电脑自动选取,matlab程序(A Duality-Based Splitting Method for L1-TV Image Restoration with Automatic Regularization Parameter Choice)
- 2013-09-15 14:40:45下载
- 积分:1
-
threshold
基于小波阈值的去噪方法,可以通过改变不同的参数达到不同的效果。(Wavelet threshold de-noising method can achieve different effects by changing the different parameters.)
- 2013-04-22 13:28:17下载
- 积分:1
-
MoveTest
对视频中的几帧进行移动目标检测,着重标记出移动目标。(Moving targets are detected for several frames in the video, with emphasis on the moving target.)
- 2016-11-23 21:26:17下载
- 积分:1
-
modelsim_gaosi
说明: 用matlab将图片转成灰度图TXT,再通过verilog将数据导入FPGA中,采用高斯滤波算法来处理,再将处理后的图片数据导出到TXT中。(The image is transformed into gray-scale image TXT by MATLAB, and then the data is imported into FPGA by Verilog, processed by Gauss filter algorithm, and then the processed image data is exported to TXT.)
- 2020-05-28 16:20:09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