Info

La pregunta está cerrada. Vuélvala a abrir para editarla o responderla.

applying impyramid to many images and saving then seperately

5 visualizaciones (últimos 30 días)
Mustafa Yildiz
Mustafa Yildiz el 17 de Mzo. de 2020
Cerrada: MATLAB Answer Bot el 20 de Ag. de 2021
Hello i have a image data and i want to appyl impyramid to all these images and save them in different folder, here is the code i wrote, my question is how to make is shorter so it wont take too long time for process.
srcFiles = dir('C:\Users\mstfy\Desktop\Matlab\alex\aadeneme\*.jpg');
for i = 1 : length(srcFiles)
filename = strcat('C:\Users\mstfy\Desktop\Matlab\alex\aadeneme\',srcFiles(i).name);
im = imread(filename);
k = impyramid(im, 'reduce');
j = impyramid(k,'reduce');
m = impyramid(j,'reduce');
l = impyramid(im,'expand');
n = impyramid(l,'expand');
v = impyramid(n,'expand');
newfilename=strcat('C:\Users\mstfy\Desktop\Matlab\alex\aadeneme1\',srcFiles(i).name);
newfilename1=strcat('C:\Users\mstfy\Desktop\Matlab\alex\aadeneme2\',srcFiles(i).name);
newfilename2=strcat('C:\Users\mstfy\Desktop\Matlab\alex\aadeneme3\',srcFiles(i).name);
newfilename3=strcat('C:\Users\mstfy\Desktop\Matlab\alex\aadeneme1a\',srcFiles(i).name);
newfilename4=strcat('C:\Users\mstfy\Desktop\Matlab\alex\aadeneme2a\',srcFiles(i).name);
newfilename5=strcat('C:\Users\mstfy\Desktop\Matlab\alex\aadeneme3a\',srcFiles(i).name);
imwrite(k,newfilename,'jpg');
imwrite(j,newfilename1,'jpg');
imwrite(m,newfilename2,'jpg');
imwrite(l,newfilename3,'jpg');
imwrite(n,newfilename4,'jpg');
imwrite(v,newfilename5,'jpg');
end

Respuestas (1)

Raunak Gupta
Raunak Gupta el 20 de Mzo. de 2020
Hi,
Since it is required to store all the jpg file generated from successive impyramid expansion and reduction, in my opinion I don’t see further optimization rather than using parfor instead of for loop for speeding up the code. Since images are independent of each other the parfor will provide speed up based on the number of workers/CPU Cores available in your device. Note that for using parfor you need to have Parallel Computing Toolbox installed.

La pregunta está cerrada.

Productos

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by