yibeimingyue
Generate 10,000 random numbers and create a histogram. The histogramfunction automatically chooses 
an appropriate number of bins to cover the range of values in x and show the shape of the
underlying distribution.
x = randn(10000,1);
h = histogram(x)

randn(100001)产生10 000个均值0,标准差1的正态分布随机数。


 


 

另一个例子:

clc
clear
close all

imgColor = imread(\'one_section_bianjihou.jpg\');
imgGray = rgb2gray(imgColor);

%% imhist
figure(\'name\', \'imhist\'),
imhist(imgGray);

%% histogram
figure(\'name\', \'histogram auto\'),
% histogram函数自动计算NumBins值
hist2 = histogram(imgGray);
% Find the bin counts
binCounts = hist2.Values;
% Get bin number
binNum = hist2.NumBins;

%% histogram 指定NumBins值
% Specify number of histogram bins
figure(\'name\', \'histogram256\'),
hist256 = histogram(imgGray, 256); % 等同于 imhist(imgGray)

 

 



 

https://www.cnblogs.com/gxcdream/p/7710729.html

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