Generate 10,000 random numbers and create a histogram. Thehistogramfunction automatically chooses
an appropriate number of bins to cover the range of values inxand 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)