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enhanceImage_myhisteq_myimhist
实验中自己写的enhanceImage,myhisteq,myimhist,并附有详细的文档,可正常运行并详细测试过。(Experiment to write their own enhanceImage myhisteq, myimhist, with detailed documentation, can be normal operation and tested in detail.)
- 2013-04-19 08:15:29下载
- 积分:1
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RGBchengintoHSIspace589745
说明: “求RGB转HSI空间小程序.m”为主函数调用rgb2hsi.m,由于matlab没有自带这个函数,所以自编了一个,用于进行阴影去除。( Seeking RGB to HSI space program. M the main function call rgb2hsi.m, as a result of matlab does not own this function, so a self-compiled, used for shadow removal.)
- 2008-09-16 12:32:44下载
- 积分:1
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texture-classification-with-lbp
多分辨率灰度和旋转不变纹理分类与定位二进制模式(multiresolution gray scale and rotation invariant texture classification with location binary patterns )
- 2014-02-25 16:45:10下载
- 积分:1
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lzlbgzdw
说明: 一种基于粒子滤波的测向定位跟踪算法,一种基于粒子滤波的测向定位跟踪算法。(A particle filter based on the finding and location tracking algorithm, a particle filter based on the finding and location tracking algorithm.)
- 2008-09-29 18:20:59下载
- 积分:1
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matlab
图像去模糊处理,分别运用了维纳滤波器、deconvreg方法、deconvlucy方法、盲反卷积等方法。非常实用(Image deblurring processing, namely the use of the Wiener filter, deconvreg method, deconvlucy methods, blind deconvolution methods. Very useful)
- 2020-11-06 01:09:50下载
- 积分:1
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horizontal--vertical-gray-projection
自己编写的一个MATLAB 的水平、垂直灰度投影,程序简单易懂,希望对大家有用。(I have written a MATLAB horizontal, vertical gray projection, the program easy to understand, want to be useful.)
- 2011-08-03 11:05:36下载
- 积分:1
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houghtuoyuan3
利用霍夫变换进行椭圆检测,无需模板,不同的图片只需要更改个别参数(Ellipse detection using Hough transform, without templates, a different picture only need to change individual parameters)
- 2013-08-26 09:34:49下载
- 积分:1
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Edge-Detection
边缘检测 Edge Detection Edge Detection(Edge Detection)
- 2014-05-08 13:49:15下载
- 积分:1
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matlabforlicenceplaterecognition
说明: 用matlab实现汽车牌照识别系统的定位算法(Automobile License Plate Recognition System Location Algorithm)
- 2006-04-07 13:27:24下载
- 积分:1
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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