www.pudn.com > MatlabSIFT.zip > script_example.m

img1 = imread('ima1.jpg'); 
 
figure(1); 
image(img1); 
colormap(gray(256)); 
title('ima1.jpg'); 
 
drawnow; 
 
% Detect the SIFT features: 
fprintf(1,'Computing the SIFT features for ima1.jpg...\n') 
[features1,pyr1,imp1,keys1] = detect_features(img1); 
 
figure(2); 
showfeatures(features1,img1); 
title('SIFT features of image ima1.jpg'); 
drawnow; 
 
 
 
 
img2 = imread('ima2.jpg'); 
 
figure(3); 
image(img2); 
colormap(gray(256)); 
title('ima2.jpg'); 
 
drawnow; 
 
% Detect the SIFT features: 
fprintf(1,'Computing the SIFT features for ima2.jpg...\n') 
[features2,pyr2,imp2,keys2] = detect_features(img2); 
 
figure(4); 
showfeatures(features2,img2); 
title('SIFT features of image ima2.jpg'); 
 
 
 
 
 
img3 = imread('ima3.jpg'); 
 
figure(5); 
image(img3); 
colormap(gray(256)); 
title('ima3.jpg'); 
 
drawnow; 
 
% Detect the SIFT features: 
fprintf(1,'Computing the SIFT features for ima3.jpg...\n') 
[features3,pyr3,imp3,keys3] = detect_features(img3); 
 
figure(6); 
showfeatures(features3,img3,1); 
title('SIFT features of image ima3.jpg');