我有一个包含大约1000张图片的目录。在我的matlab代码中,我必须按名称顺序处理这些图像。(img1.jpg,img2.jpg等)。有没有办法从图像directrory读取顺序所以img1.jpg将被处理,然后img2.jpg等等?提前谢谢。
imgFilesDir =dir('pics/*.jpg');
for n=1:length(imgFilesDir)
%read Target image and convert into single
rgb2= im2single(imread(strcat('pics/',imgFilesDir(n).name)));
I2 = rgb2gray(rgb2);
end
答案 0 :(得分:2)
使用正则表达式提取数字部分,从字符串转换为数字,按数字排序,并将该顺序应用于字符串:
imgFilesDirName = {imgFilesDir.name};
[~, ind] = sort(cellfun(@str2double, regexp(imgFilesDirName,'\d+(?=\..*)','match')));
imgFilesDirSorted = imgFilesDir(ind); %// sorted struct
imgFilesDirNameSorted = imgFilesDirName(ind); %// sorted names
假设数字部分是文件扩展名之前的一个或多个数字。
例如,给定
imgFilesDirName = {'imag1.jpg', 'imag10.jpg', 'imag11.jpg', 'img2.jpg', 'img20.jpg'};
你得到了
imgFilesDirNameSorted =
'imag1.jpg' 'img2.jpg' 'imag10.jpg' 'imag11.jpg' 'img20.jpg'
答案 1 :(得分:1)
在这种情况下,您可以使用
[~, intVecSort] = sort(arrayfun(@(x) x.name, r, 'Uniformoutput', false));
按日期排序甚至更短
[~, intVecSort] = sort(arrayfun(@(x) x.name, r);
如果你想将img3作为第三个名字,这是有效的
names = arrayfun(@(x) x.name, r, 'Uniformoutput', false);
names(:, 2) = cellfun(@(x) {length(x)}, names(:, 1));
[~, intVecSort] = sortrows(names, [2, 1]);
答案 2 :(得分:0)
此file exchange submission也可以派上用场 -
sort_nat
它可以作为文件名的输入字符串获取并按自然顺序排序。
>> imgFilesDirName = {'imag1.jpg', 'imag10.jpg', 'imag11.jpg', 'img2.jpg', 'img20.jpg'};
>> sort_nat(imgFilesDirName)
ans =
'imag1.jpg' 'imag10.jpg' 'imag11.jpg' 'img2.jpg' 'img20.jpg'
免责声明:我直接从Matlab文件交换中复制了文本,它不是我的任何方式
function [cs,index] = sort_nat(c,mode)
% Set default value for mode if necessary.
if nargin < 2
mode = 'ascend';
end
% Make sure mode is either 'ascend' or 'descend'.
modes = strcmpi(mode,{'ascend','descend'});
is_descend = modes(2);
if ~any(modes)
error('sort_nat:sortDirection',...
'sorting direction must be ''ascend'' or ''descend''.')
end
% Replace runs of digits with '0'.
c2 = regexprep(c,'\d+','0');
% Compute char version of c2 and locations of zeros.
s1 = char(c2);
z = s1 == '0';
% Extract the runs of digits and their start and end indices.
[digruns,first,last] = regexp(c,'\d+','match','start','end');
% Create matrix of numerical values of runs of digits and a matrix of the
% number of digits in each run.
num_str = length(c);
max_len = size(s1,2);
num_val = NaN(num_str,max_len);
num_dig = NaN(num_str,max_len);
for i = 1:num_str
num_val(i,z(i,:)) = sscanf(sprintf('%s ',digruns{i}{:}),'%f');
num_dig(i,z(i,:)) = last{i} - first{i} + 1;
end
% Find columns that have at least one non-NaN. Make sure activecols is a
% 1-by-n vector even if n = 0.
activecols = reshape(find(~all(isnan(num_val))),1,[]);
n = length(activecols);
% Compute which columns in the composite matrix get the numbers.
numcols = activecols + (1:2:2*n);
% Compute which columns in the composite matrix get the number of digits.
ndigcols = numcols + 1;
% Compute which columns in the composite matrix get chars.
charcols = true(1,max_len + 2*n);
charcols(numcols) = false;
charcols(ndigcols) = false;
% Create and fill composite matrix, comp.
comp = zeros(num_str,max_len + 2*n);
comp(:,charcols) = double(s1);
comp(:,numcols) = num_val(:,activecols);
comp(:,ndigcols) = num_dig(:,activecols);
% Sort rows of composite matrix and use index to sort c in ascending or
% descending order, depending on mode.
[unused,index] = sortrows(comp);
if is_descend
index = index(end:-1:1);
end
index = reshape(index,size(c));
cs = c(index);
end