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houghpixels
hough lines using matlab
- 2010-06-28 16:49:57下载
- 积分：1
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line-detection
line detection using hough transform
- 2012-01-30 15:32:40下载
- 积分：1
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Image20160331Quality
测试以下图像信息
1。结构内容（SC）
2。均方误差（MSE）
3。峰值信噪比（PSNR值）
4。归一化互相关（NCC）
5。平均差（AD）
6。最大的差异（MD）
7。归一化绝对误差（NAE）(Image/Picture Quality Measures
In this application, different image quality measures are calculated for a distorted image with reference to an original image. To test the application, a set of 20 distorted images is included in this package. The list of Image Quality measures implemented in this package include,
1. Structural Content (SC)
2. Mean Square Error (MSE)
3. Peak Signal to Noise Ratio (PSNR in dB)
4. Normalized Cross-Correlation (NCC)
5. Average Difference (AD)
6. Maximum Difference (MD)
7. Normalized Absolute Error (NAE)
Refer Reference.png for the mathematical expressions implemented in this package.
Original images are kept in the folder OriginalImages .
Distorted images are kept in the folder DistortedImages .)
- 2016-03-31 08:54:35下载
- 积分：1
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MonteCarlo_Simulations_english
说明： 在mathworks公司上找到的很好的资料，内有ppt和完整的可运行程序。(Found on the company in mathworks good information and complete within the ppt can run the program.)
- 2011-03-09 16:46:42下载
- 积分：1
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Nada_ALzaben_code_558
this program does some digital image processing using matlab. It does some filtering and enhancments to any chosen image
- 2011-11-23 04:20:10下载
- 积分：1
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Final-Coding
ebcot algorith with arithmetic coding
- 2014-02-25 15:10:21下载
- 积分：1
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Image_enhancement
比较简单的灰度图像锐化源代码，相信学习数字图像处理的童鞋能用到(Gray image sharpening relatively simple source code, I believe that children' s shoes to learn digital image processing can be used to)
- 2010-06-26 16:13:43下载
- 积分：1
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Romberg
用romberg方法计算定积分，数值积分的一种常用方法(use romberg method)
- 2010-12-23 09:59:07下载
- 积分：1
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untitled_acc
show motor the torck mechanique
- 2010-05-15 06:46:57下载
- 积分：1
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chap11
syms x
g=exp(x*sin(x))
t=taylor(g,12,2)
xd = 1:0.05:3 yd = subs(g,x,xd)
ezplot(t, [1,3]) hold on
plot(xd, yd, r-. )
title( Taylor approximation vs. actual function )
legend( Taylor , Function )(syms x g = exp (x* sin (x)) t = taylor (g, 12,2) xd = 1:0.05:3 yd = subs (g, x, xd) ezplot (t, [1 , 3]) hold on plot (xd, yd, ' r-.' ) title (' Taylor approximation vs. actual function' ) legend (' Taylor' , ' Function' ))
- 2011-07-27 18:12:56下载
- 积分：1
