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Saliency
显著图计算算法FT, SR, LC, HC, RC，以及saliency cut 的合集。(an windows msi for install saliency detection software, which includes the implementation for FT, SR, LC, our HC, RC and saliency cut method.)
- 2011-09-25 21:13:22下载
- 积分：1
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L1_SVD
利用压缩感知实现波达方向估计，运用奇异值分解对接收信号进行降维，再利用L1范数进行估计(Using compressed sensing DOA estimation using singular value decomposition to reduce the dimensionality of the received signal, and then using the L1 norm estimate)
- 2021-05-14 03:30:03下载
- 积分：1
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pca
本程序利用matlab语言，实现了对高光谱遥感图像的读取并做主成分分析，将结果按贡献率大小顺序排列并显示出来。(This procedure using matlab language to achieve a high spectral remote sensing image analysis components to read and call the shots, according to the results in order of contribution size and display.)
- 2020-09-05 19:38:05下载
- 积分：1
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calibration
基于标准遗传算法的摄像头标定程序，内附readme(Standard genetic algorithm based on camera calibration procedures, containing readme)
- 2009-01-05 17:10:05下载
- 积分：1
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lbp_matlab
实现纹理模式的LBP特征表示及分类。
实现一种基于局部二值模式LBP（Local Binary Pattern）的多分辨率灰度尺度及旋转不变性的纹理分类方法(LBP texture model to achieve that as well as the breakdown characteristics. The realization of a model based on local binary LBP (Local Binary Pattern) Multiresolution gray-scale and rotation invariant texture classification)
- 2009-07-08 18:01:47下载
- 积分：1
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Graph_Cut
用图切分（Graph_Cut）分割图像彩色图像、灰度图像及二值图像，效果较好，尤其是金相组织图像的分割更加有效。(Graph_Cut)
- 2010-12-20 01:18:04下载
- 积分：1
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ssim_index
基于matlab的SSIM图像相似度评价算法实现(Matlab based on the the SSIM image similarity evaluation algorithm implementation)
- 2021-03-10 14:19:26下载
- 积分：1
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bubianju
7个不变矩的在Matlab中的实现，提供代码供大家参考。(Seven invariant moments of the realization in Matlab to provide the code for your reference.)
- 2008-07-24 09:50:06下载
- 积分：1
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TMM_WG
计算波导的matlab程序，主要是传输矩阵方法(Waveguide matlab calculation programs)
- 2009-10-15 21:08:47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
