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OLD_OTSU
matlab OTSU 简易的大津算法 求最佳阈值的。(matlab simple algorithm seeking Otsu threshold.)
- 2009-10-11 22:27:16下载
- 积分：1
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ct-fbp
ct扇束等角滤波反投影重建算法matlab源码 分成源图像创建 投影 滤波反投影三个文件(ct Matlab reconstruction algorithm which can be used for CT image reconstruction)
- 2020-06-29 22:20:01下载
- 积分：1
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代码
用于仿真OAM光束在真空中进行夫琅禾费衍射，附件是其相关书籍(Used to simulate Fraunhofer diffraction of OAM beam in vacuum)
- 2018-06-09 18:16:13下载
- 积分：1
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image
图像算法开放库，对图像处理的，希望对学习者有所帮助！(Image algorithm open library of image processing, and they hope to help learners!)
- 2007-11-02 08:32:29下载
- 积分：1
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feature-detection
基于PCA的雷达点云数据的形状特征提取,主要是屋顶平面提取(The feature extraction of LiDAR point cloud data based on PCA)
- 2020-11-29 14:09:29下载
- 积分：1
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基于Gabor小波变换的图像纹理特征提取 蓝永
这篇论文对于Gabor小波分析的说明特别详细，非常有利于我们理解(This paper is particularly detailed for the description of Gabor wavelet analysis, which is very helpful to our understanding.)
- 2017-12-03 10:30:22下载
- 积分：1
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0999
卡尔曼滤波是一种数据处理方法，它是一种线性最小方差无偏估计准则，基于系统
状态估计和当前观测，通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤
波的基本思路和算法；并通过仿真，显示卡尔曼滤波的功能，以及如何用它来跟踪方向确定、速度恒定的飞行器。 (Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.)
- 2013-09-06 10:21:27下载
- 积分：1
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db97
DB97提升小波程序，实现任意偶数大小图像双正交97提升小波变换，比传统的CDF97卷积算法好(DB97 lifting wavelet procedures, arbitrary size images even biorthogonal wavelet transform 97 upgrade, than the traditional filter convolution algorithm good)
- 2006-08-11 11:31:18下载
- 积分：1
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c# 一维码生成 实例源码下载
c# 一维码生成 实例源码下载
- 2014-06-20下载
- 积分：1
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covariance-tracking
该代码用于实现视觉目标跟踪研究中的协方差跟踪，能够把多种时空特征融合于统一的模型中，在实现视觉目标跟踪时具有较好的鲁棒性，而且其维数等于使用特征的数量，与各个特征的维数无关，因此，其计算复杂度较小，实时性较好。(This code is used to realize covariance tracking in the research field of visual object tracking of computer vision. It enables fusion of various spatial-temporal features into an unified object feature model, hence robust to noise. In addition, its dimension is equal to the number of the features used and independent of the dimensions of the features used. Therefore, it satisfies the requirement of real-time application due to its low computation cost.)
- 2011-07-02 06:58:54下载
- 积分：1
