How can i select seed pixel based on intensity based similarity index (8 neighbour connectivity) ?
Afficher commentaires plus anciens
I am using this code . The similarity index between two pixels of RGB image is calculated by euclidean distance. I want to show these seed pixels in original image... clear all img=imread('ldy.jpg'); figure, imshow(img); imggray=rgb2gray(img); bw=edge(imggray, 'log'); % figure,imshow(bw); imgc=imcomplement(bw); % figure, imshow(imgc); w=watershed(imgc); % figure, imshow(w); wrgb=label2rgb(w); b=zeros(256, 256); figure, imshow(wrgb); for i=1:256; for j=1:256; dr1=wrgb(i, j, 1)-wrgb(i, j+1, 1); dg1=wrgb(i, j, 2)-wrgb(i, j+1, 2);db1=wrgb(i, j, 3)-wrgb(i, j+1, 3); d1=sqrt(dr1*dr1+dg1*dg1+db1*db1); dr2=wrgb(i, j, 1)-wrgb(i-1, j+1, 1); dg2=wrgb(i, j, 2)-wrgb(i-1, j+1, 2);db2=wrgb(i, j, 3)-wrgb(i-1, j+1, 3); d2=sqrt(dr2*dr2+dg2*dg2+db2*db2); dr3=wrgb(i, j, 1)-wrgb(i-1, j, 1); dg3=wrgb(i, j, 2)-wrgb(i-1, j, 2);db3=wrgb(i, j, 3)-wrgb(i-1, j, 3); d3=sqrt(dr3*dr3+dg3*dg3+db3*db3); dr4=wrgb(i, j, 1)-wrgb(i-1, j-1, 1); dg4=wrgb(i, j, 2)-wrgb(i-1, j-1, 2);db4=wrgb(i, j, 3)-wrgb(i-1, j-1, 3); d4=sqrt(dr4*dr4+dg4*dg4+db4*db4); dr5=wrgb(i, j, 1)-wrgb(i, j-1, 1); dg5=wrgb(i, j, 2)-wrgb(i, j-1, 2);db5=wrgb(i, j, 3)-wrgb(i, j-1, 3); d5=sqrt(dr5*dr5+dg5*dg5+db5*db5); dr6=wrgb(i, j, 1)-wrgb(i+1, j-1, 1); dg6=wrgb(i, j, 2)-wrgb(i+1, j-1, 2);db1=wrgb(i, j, 3)-wrgb(i+1, j-1, 3); d6=sqrt(dr6*dr6+dg6*dg6+db6*db6); dr7=wrgb(i, j, 1)-wrgb(i+1, j, 1); dg7=wrgb(i, j, 2)-wrgb(i+1, j, 2);db7=wrgb(i, j, 3)-wrgb(i+1, j, 3); d7=sqrt(dr7+dg7+db7); dr8=wrgb(i, j, 1)-wrgb(i+1, j+1, 1); dg8=wrgb(i, j, 2)-wrgb(i+1, j+1, 2);db8=wrgb(i, j, 3)-wrgb(i+1, j+1, 3); d8=sqrt(dr8+dg8+db8); d=d1+d2+d3+d4+d5+d6+d7+d8; if d==0 b(i, j)=1; end end end imshow(b); Error is genrated: Error in seedpixelselection (line 17) d1=sqrt(dr1*dr1+dg1*dg1+db1*db1);
Undefined function 'sqrt' for input arguments of type 'uint8'.
Réponse acceptée
Plus de réponses (0)
Catégories
En savoir plus sur Read, Write, and Modify Image dans Centre d'aide et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!