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How can i loop this code?

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george korris
george korris el 21 de Abr. de 2021
Comentada: george korris el 28 de Abr. de 2021
Hey guys so i have the next code which reads an image then crops it and then for the same crop diensions crops 15 mor images and the for each image does some fft staff the same for every image and in the end finds the slopes of the polyfits and plots them in one diagramme.How can i make this do all of them faster?
clc;
clear all;
img = imread('a=0.3.1.jpg');
figure;
imshow(img);
h_rect = imrect();
% Rectangle position is given as [xmin, ymin, width, height]
pos_rect = h_rect.getPosition();
% Round off so the coordinates can be used as indices
pos_rect = round(pos_rect);
% Select part of the image
img_cropped = img(pos_rect(2) + (0:pos_rect(4)), pos_rect(1) + (0:pos_rect(3)));
img = img_cropped
img_rot=imrotate(img,32.06);
figure, imshow(img_rot)
%figure,contourf(prof_img_rot11);
fft_prof11 = mean(abs(fft(prof_img_rot11)'));
img = imread('a=0.3.2.jpg');
img = imcrop(img,pos_rect);
imshow(img)
img_rot=imrotate(img,32.06);
figure, imshow(img_rot)
%figure,contourf(prof_img_rot12);
fft_prof12 = mean(abs(fft(prof_img_rot12)'));
img = imread('a=0.3.3.jpg');
img = imcrop(img,pos_rect);
imshow(img)
img_rot=imrotate(img,32.06);
figure, imshow(img_rot)
%contourf(prof_img_rot13);
fft_prof13 = mean(abs(fft(prof_img_rot13)'));
img = imread('a=0.3.4.jpg');
img = imcrop(img,pos_rect);
imshow(img)
img_rot=imrotate(img,32.06);
figure, imshow(img_rot)
%figure,contourf(prof_img_rot14);
fft_prof14 = mean(abs(fft(prof_img_rot14)'));
img = imread('a=0.5.1.jpg');
img = imcrop(img,pos_rect);
imshow(img)
img_rot=imrotate(img,32.06);
figure, imshow(img_rot)
%figure,contourf(prof_img_rot21);
fft_prof21 = mean(abs(fft(prof_img_rot21)'));
img = imread('a=0.5.2.jpg');
img = imcrop(img,pos_rect);
imshow(img)
img_rot=imrotate(img,32.06);
figure, imshow(img_rot)
%figure,contourf(prof_img_rot22);
fft_prof22 = mean(abs(fft(prof_img_rot22)'));
img = imread('a=0.5.3.jpg');
img = imcrop(img,pos_rect);
imshow(img)
img_rot=imrotate(img,32.06);
figure, imshow(img_rot)
%contourf(prof_img_rot23);
fft_prof23 = mean(abs(fft(prof_img_rot23)'));
x = 1:127;
x1 = log(x);
y11 = log(fft_prof11(2:128))
y12 = log(fft_prof12(2:128))
y13 = log(fft_prof13(2:128))
y14 = log(fft_prof14(2:128))
y21 = log(fft_prof21(2:128))
y22 = log(fft_prof22(2:128))
y23 = log(fft_prof23(2:128))
y24 = log(fft_prof24(2:128))
y31 = log(fft_prof31(2:128))
y32 = log(fft_prof32(2:128))
y33 = log(fft_prof33(2:128))
y34 = log(fft_prof34(2:128))
close all;

Respuesta aceptada

Jan
Jan el 26 de Abr. de 2021
Editada: Jan el 26 de Abr. de 2021
Faster: Omit the clear all. It removes all loaded functions from the memory. Reloading and parsing them from the slow disk wastes time without any benefit.
  3 comentarios
george korris
george korris el 27 de Abr. de 2021
hello Jan i read the very usefull link you attached and have a question what if i have a folder with thousands of images with similar names and i only want to read the images with lets say names c=2.jpg , c2=2.jpg, c3=2.jpg and so on how can i do that ?
george korris
george korris el 28 de Abr. de 2021
i figured it outt sorry to bother you Jan

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