Description: 一些常用的图像处理cpp和对应的matlab接口 是非常常用的一些代码-Quick list of the source included:
imhist_thresh.cpp: Generate histogram from data,# of bins based on unique values.
imsmarthist_thresh.cpp: equalize data based on histogram
imsmartstd_thresh.cpp: equalize data based on standard deviation
im_absdiff.cpp: Absolute difference of two images
im_add.cpp: Add two images
im_addelem.cpp: Add a variable to an image
im_complement.cpp: Inverse of an image
im_div.cpp: Divide one image by another (pixel wise, not linear algebra)
im_divelem.cpp: divide an image by an element
im_find.cpp: generate a new image based on conditions, will be booleanish
im_fliplr.cpp: Flip image left right
im_flipud.cpp: Flip image up down
im_hist.cpp: Histogram of image, notes will explain how to display results
im_log10.cpp: Take the log of the image
im_max.cpp: Max value in the image
im_mean.cpp: Mean value of the image
im_median.cpp: Median value of the image
im_min.cpp: Min value of the image
im_mult.cpp: Mult Platform: |
Size: 496640 |
Author:Ming |
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Description: 某校60名学生的一次考试成绩如下：
某校60名学生的一次考试成绩如下：
(93 75 83 93 91 85 84 82 77 76 77 95 94 89 91 88 86 83 96 81 79 97 78 75 67 69 68 84 83 81 75 66 85 70 94 84 83 82 80 78 74 73 76 70 86 76 90 89 71 66 86 73 80 94 79 78 77 63 53 55
1)计算均值、标准差、极差、偏度、峰度，画出直方图；
2)检验分布的正态性；
3)若检验符合正态分布，估计正态分布的参数并检验参数
(1)计算均值、标准差、极差、偏度、峰度，画出直方图；
2)检验分布的正态性；
3)若检验符合正态分布，估计正态分布的参数并检验参数-60 students of a school examination results of the first as follows: (1) calculating the mean, standard deviation, very poor, skewness, kurtosis, draw histogram 2) test of normality of distribution 3) If the test in line with normal distribution, it is estimated that the normal distribution parameters and test parameters Platform: |
Size: 40960 |
Author:马刚 |
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Description: INSTRUCTIONS FOR RUNNING NSDCALC SOFTWARE
Nsdcalc.m is a Matlab program for performing the image enhancement process
described in the accompanying paper. Place the program in your work directory
along with the demonstration data file grav.txt. At the Matlab prompt type
>> g=load( grav.txt )
-and you should see a variable called g which is 200x200 double precision
reals appear in the workspace. To filter this data type
>> f=nsdcalc(g,3,0)
which will calculate the standard deviation in a 3x3 window and apply
no prior smoothing. The results will then appear onscreen in a window.
You may need to adjust the histogram of the output for optimal display.-Nsdcalc is a Matlab program that performs normalised standard deviation analysis for edge enhancement of gravity and EM potential-field datasets Platform: |
Size: 172032 |
Author:蒋礼 |
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Description: 特征提取是模式识别中最重要的一个部分，这里提供的matlab代码计算一些基本的话音特征，而且，提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征-Pattern recognition feature extraction is the most important part, here' s matlab code to compute some basic voice features, but also provides a simple classification method based on histogram characteristics of the implementation. Basic features include: Features and Statistics, Energy Entropy Standard Deviation (std), mean entropy, the zero-rate detection, attenuation, and so the six characteristics of the spectrum Platform: |
Size: 2048 |
Author:李韬 |
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Description: 采集一幅像素大于64*64黑白图像；
常规的数学统计数据处理：计算图象各象素点灰度值得均值、标准差、方差，并绘出灰度直方图；
采用[FFT（傅立叶变换）]对图像进行分析-Acquisition of a pixel is greater than 64* 64 black and white images
The conventional mathematical statistical data processing: calculation of each pixel grayscale image is worth the mean, standard deviation, variance, and draw grayscale histogram
The [FFT (Fourier transform)] to do image analysis
Platform: |
Size: 630784 |
Author:明晓昕 |
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Search - histogram standard deviation