-
opencv小车追踪
通过帧差追踪小车
- 2016-09-25下载
- 积分:1
-
ASED
在自动化生产线VC开发的运动控制机器视觉程序,XYZ三个轴有PCI板卡控制,视频卡采集图像后经算法处理找到图像的点,VC控制步进电机到加胶位置加胶,在机器上运行每日点胶100000次无故障(VC development in automated production lines motion control machine vision program, XYZ three-axis control with a PCI card, video card capture images after processing algorithm to find the image of the point, VC controlled stepper motor to position plus plus glue glue on the machine run the daily dispensing 100,000 times without failure)
- 2020-09-10 05:38:04下载
- 积分:1
-
Reconstuction3d
三维重建过程中常见的算法源码,效果良好,适合基础学习(3d reconstruction reconstruction)
- 2017-07-12 21:27:35下载
- 积分:1
-
imageprocessing
图像处理的Matlab系统,包含有巴特沃兹滤波、图像分割、高斯滤波、图像增强、图像锐化,图像旋转等功能。(Matlab image processing system, including a Butterworth filter, image segmentation, Gaussian filter, image enhancement, image enhancement, image rotation and other functions.)
- 2010-06-03 11:03:53下载
- 积分:1
-
Stationary-wavelet-transform
平稳小波变换的matlab程序 还包括去噪 什么的应用(Stationary wavelet transform denoising matlab program also includes the application of what)
- 2011-04-24 18:22:06下载
- 积分:1
-
Lowrank
修复破损图片,图像修复序列-Lowrank模型(Repair damaged picture, image repair sequence -Lowrank model)
- 2018-03-28 19:15:31下载
- 积分:1
-
shuangkiangduchafa
本文介绍了一种测量大气能见度的方法,双亮度差法,代码中给出了详细的注释,并且包括OSTU方法等等(In this paper, a measuring method of atmospheric visibility double brightness difference method, the code is given detailed annotations, and including the OSTU method and so on)
- 2015-04-26 11:35:01下载
- 积分:1
-
paticle_filter
自己编写的粒子滤波程序,请用户自己添加视频测试(Their own procedures for the preparation of the particle filter, please add the user' s own Video Test)
- 2009-06-19 12:43:32下载
- 积分:1
-
fft分析
说明: 自己写的fft的应用实例,包括对一维振动信号分析,对二维图像频谱分析。(The application examples of FFT written by myself include one-dimensional vibration signal analysis and two-dimensional image spectrum analysis.)
- 2019-12-19 10:38:24下载
- 积分:1
-
MyBayes
2.编写两类正态分布模式的贝叶斯分类程序。
设以下模式类别具有正态概率密度函数:
ω1:{(0 0)T, (2 0)T, (2 2)T, (0 2)T}
ω2:{(4 4)T, (6 4)T, (6 6)T, (4 6)T}
(1)设P(ω1)= P(ω2)=1/2,求这两类模式之间的贝叶斯判别界面的方程式。
(2)绘出判别界面。
3.已知服从正态分布的两类训练样本集分别为
:,,,,
:,,,
,试问属于哪一类?
4.设有两类一维模式,每一类都是正态分布,两类的均值和均方差分别为,;,。
采用(0-1)损失函数,且。
(1)试绘出两类模式的密度函数曲线,其判别界面位于何处?
(2)若已获得样本:-3,-2,1,3,5,试判断它们各属于哪一类。(bayes ,matlab)
- 2013-04-12 09:34:26下载
- 积分:1