dog_pyramid_2=build_dog_pyramid(gaussian_pyramid_2,nOctaves_2,dog_center_layer); disp(['待配准图像创建DOG Pyramid花费时间是:',num2str(toc),'s']); display_product_image(gaussian_pyramid_2,dog_pyramid_2,gaussian_gradient_2,... gaussian_angle_2,nOctaves_2,dog_center_layer,'Image to be ...
[F1,Vp1] = extractFeatures(rgb2gray(img1),detectKAZEFeatures(rgb2gray(img1),'Threshold',Threshold,'NumOctaves',3,'NumScaleLevels',SCALE)); [F2,Vp2] = extractFeatures(rgb2gray(img2),detectKAZEFeatures(rgb2gray(img2),'Threshold',Threshold,'NumOctaves',3,'NumScaleLevels',SCALE)); indexPairs ...
[F1,Vp1] = extractFeatures(rgb2gray(img1),detectKAZEFeatures(rgb2gray(img1),'Threshold',Threshold, 'NumOctaves',3,'NumScaleLevels',SCALE)); [F2,Vp2] = extractFeatures(rgb2gray(img2),detectKAZEFeatures(rgb2gray(img2),'Threshold',Threshold, 'NumOctaves',3,'NumScaleLevels',SCALE)); indexPair...
'NumOctaves'默认值为3,范围为>=1的整数,表示所使用高斯滤波器的序列,越小时,所使用的高斯滤波器的序列的窗口大小越小,能够检测到的Blob的尺度越小,典型值为1-4 'NumScaleLevels'默认值为4,范围为>= 3的整数,表示对应NumOctaves取值的高斯滤波器的个数,典型值为3-6 'ROI'默认为[1,1,size(I,1),size(...
[F2,Vp2] =extractFeatures(rgb2gray(img2),detectKAZEFeatures(rgb2gray(img2),'Threshold',Threshold,'NumOctaves',3,'NumScaleLevels',SCALE)); indexPairs = matchFeatures(F1,F2); P1 = Vp1(indexPairs(:,1)); P2 = Vp2(indexPairs(:,2)); ...
(img1),'Threshold',Threshold,'NumOctaves',3,'NumScaleLevels',SCALE));[F2,Vp2]=extractFeatures(rgb2gray(img2),detectKAZEFeatures(rgb2gray(img2),'Threshold',Threshold,'NumOctaves',3,'NumScaleLevels',SCALE));indexPairs=matchFeatures(F1,F2);P1=Vp1(indexPairs(:,1));P2=Vp2(indexPairs(:,2...
[F1,Vp1] = extractFeatures(rgb2gray(img1),detectKAZEFeatures(rgb2gray(img1),'Threshold',Threshold, 'NumOctaves',3,'NumScaleLevels',SCALE)); [F2,Vp2] = extractFeatures(rgb2gray(img2),detectKAZEFeatures(rgb2gray(img2),'Threshold',Threshold, 'NumOctaves',3,'NumScaleLevels',SCALE)); ...
[F_1,Vp_1] = extractFeatures(rgb2gray(imgs1),detectKAZEFeatures(rgb2gray(imgs1),'Threshold',Threshold, 'NumOctaves',3,'NumScaleLevels',SCALE)); [F_2,Vp_2] = extractFeatures(rgb2gray(imgs2),detectKAZEFeatures(rgb2gray(imgs2),'Threshold',Threshold, 'NumOctaves',3,'NumScaleLevels',SCALE)...
[frames1,descr1,gss1,dogss1] = do_sift( I1, 'Verbosity', 1, 'NumOctaves', 4, 'Threshold', 0.1/3/2 ) ; %0.04/3/2 [frames2,descr2,gss2,dogss2] = do_sift( I2, 'Verbosity', 1, 'NumOctaves', 4, 'Threshold', 0.1/3/2 ) ; ...
[F_2,Vp_2] =extractFeatures(rgb2gray(imgs2),detectKAZEFeatures(rgb2gray(imgs2),'Threshold',Threshold,'NumOctaves',3,'NumScaleLevels',SCALE)); indexPairs = matchFeatures(F_1,F_2); %匹配提取出的特征点。 Mf_1 = Vp_1(indexPairs(:, 1)); ...