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MATLAB_mysusan
Author: Abhishek Ivaturi
Summary: SUSAN Edge detection in gray scale images.
MATLAB Release: R13
Required Products: Image Processing Toolbox
Description: Edge detection in gray scale images using the SUSAN algorithm. (takes some time to compute, but i hope to fix it...code is rather crude right now)Does not yet include non maximal suppresion. (Author : Abhishek Ivaturi Summary : SUSAN Edge detection in gray scale images. MATL AB Release : R13 Required Products : Image Processing Toolbox Description : Edge detection in gray scale images using the SU SAN algorithm. (takes some time to compute, but i hope to fix it ... code is rather crude right now) Does not include non maximal yet suppresio n.)
- 2007-05-18 13:49:16下载
- 积分：1
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VFSAdandizhendaoceshi
对单地震道模型利用模拟退火法进行反演测试，对于验证模拟退火法可行性有重要意义。(Single-channel model for seismic inversion using simulated annealing method tested on simulated annealing method for verifying the feasibility of great significance.)
- 2014-11-03 22:24:54下载
- 积分：1
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chap3_6
大时滞系统Smith预估算法matlab.m文件仿真c程序(Big Delay PID Control with Smith Algorithm)
- 2012-09-01 08:27:34下载
- 积分：1
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ccf-and-acf
gold code and pn sequce comparision using ccf and acf characterstics
- 2013-10-29 21:22:25下载
- 积分：1
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Adaptive-genetic-algorithm
基于MATLAB的自适应遗传算法的代码实现(Adaptive genetic algorithm based on MATLAB)
- 2015-03-23 17:21:09下载
- 积分：1
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An.Introduction.to.Pattern.Recognition
An Introduction to Pattern Recognition: matlab approach
- 2010-09-19 23:18:19下载
- 积分：1
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Figure_scripts-20120703
BOC信号仿真 自相关 功率谱特性 无模糊度捕获(BOC signal autocorrelation power spectrum without ambiguity capture)
- 2012-07-04 17:25:13下载
- 积分：1
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demo_canny
运用canny算子实现边缘检测，实测能在matlab中运行(canny for matlab , windows xp)
- 2018-05-28 13:27:13下载
- 积分：1
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calculator
Matlab编写的计算器，能实现普通计算器的各种功能(calculator in Matlab circumstance)
- 2011-06-20 09:13:08下载
- 积分：1
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DLTcode
Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
- 2014-09-02 12:25:35下载
- 积分：1
