我有一个条形码,我想在 matlab 中处理它并计算一维条形码中每个条的宽度(以像素为单位)。
我已经尝试通过灰度阈值将图像转换为灰度,并将其也转换为二进制。
%read the image code3
barz=imread('barcode1.jpg');
grayBarz=rgb2gray(barz);
binImage = imbinarize(barz,graythresh(barz));
s = regionprops(binImage == 0,'Area','PixelIdxList');
imshow(barz);
我想要条形码中每个条的宽度(以像素为单位)。
最佳答案
有时不需要完整的图像处理工具箱就能做事很有趣。
下面的解决方案允许您计算每个黑条的像素宽度,而不需要任何额外的工具箱:
%% Read the image
barz=imread('barcode.jpg');
grayBarz=rgb2gray(barz);
%% Extract an horizontal line in the middle
sz = size(grayBarz) ;
idxMidLine = round(sz(1)/2) ; % index of a line roughly in the middle
eline = grayBarz(idxMidLine,:) ; % extract a line
eline(eline<128) = 0 ; % sharpen transitions
eline = ~logical(eline) ; % convert to logical (0=white / 1=black)
%% Now count the pixels
npts = numel(eline) ; % number of points in the line
% Find every transition:
% high to low => -1
% no change => 0
% low to high => +1
idd = find( diff(eline) ) ;
% this contain the start and end indices of every interval
ddd = [ 1 , idd ; ...
idd , npts ] ;
% This contains the width of every bar (white and black),
% in order from left to right
barWidth = diff(ddd) ;
if ~eline(1)
% The first interval is 0 (is white)
pixBarWhite = barWidth( 1:2:end ) ;
pixBarBlack = barWidth( 2:2:end ) ;
else
% The first interval is 1 (is black)
pixBarBlack = barWidth( 1:2:end ) ;
pixBarWhite = barWidth( 2:2:end ) ;
end
nBarWhite = numel(pixBarWhite) ;
nBarBlack = numel(pixBarBlack) ;
%% Display results
fprintf('Found a total of %d black pixels along the horizontal,\n',sum(pixBarBlack))
fprintf('spread over %d black bars,\n',nBarBlack)
fprintf('Individual bar pixel thickness:\n')
for k=1:nBarBlack
fprintf('Bar %02d : Thickness: %02d pixels\n',k,pixBarBlack(k))
end
对于您的图片,它将返回:
Found a total of 599 black pixels along the horizontal,
spread over 49 black bars,
Individual bar pixel thinchness:,
Bar 01 : Thickness: 13 pixels
Bar 02 : Thickness: 07 pixels
Bar 03 : Thickness: 20 pixels
% [edited to keep it short]
Bar 47 : Thickness: 20 pixels
Bar 48 : Thickness: 07 pixels
Bar 49 : Thickness: 13 pixels
请注意,变量 pixBarWhite
还包含黑条之间所有白色间隔的像素厚度。以后可能会派上用场...
关于matlab - 在Matlab中计算条形码每条的宽度,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/58389961/