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Chessboard illumination - Problems using imrotate

조회 수: 2 (최근 30일)
Joana Teixeira
Joana Teixeira 2022년 3월 17일
댓글: Matt J 2022년 3월 18일
Hello! I'm doing a chessboard with dimensions of 512x512. In my code I should apply a parameter which makes the illumination of the chessboard varies given an angle (MCangle). I used the imrotate function, but the output image shows the chessboard with black corners. I wanted that my rotate image fill my original image. I've tried to use imrotate without the 'crop' parameter, but it shows an error saying "Matrix dimensions must agree.", as expected. Can someone help me with this problem? I would be very thankful!! And sorry if my english is bad.
f1=255*ones(64);
f2=zeros(64);
R1=[f1 f2 f1 f2 f1 f2 f1 f2];
R2=[f2 f1 f2 f1 f2 f1 f2 f1];
chess=[R1;R2;R1;R2;R1;R2;R1;R2];
vl=1:512;
vc=ones(512,1);
MA=vc*vl;
MB=mat2gray(MA);
%illumination intensity
MC=MB*(0.6)+0.2;%MC=MB*(IMAX-IMIN)+IMIN;
MCangle=imrotate(MC,45,'crop');
chessintensity=chess.*MCangle;
chessI8=uint8(chessintensity);
imshow(chessI8)
  댓글 수: 4
Matt J
Matt J 2022년 3월 17일
Well, you need to edit your post to describe what the actual problem is. Currently, you describe a "matrix dimensions must agree" problem that doesn't exist.
Joana Teixeira
Joana Teixeira 2022년 3월 17일
"I used the imrotate function, but the output image shows the chessboard with black corners. I wanted that my rotate image fill my original image." I dont want the black corners.

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채택된 답변

Matt J
Matt J 2022년 3월 17일
편집: Matt J 2022년 3월 17일
f1=255*ones(64);
f2=zeros(64);
R1=[f1 f2 f1 f2 f1 f2 f1 f2];
R2=[f2 f1 f2 f1 f2 f1 f2 f1];
chess=[R1;R2;R1;R2;R1;R2;R1;R2];
[x,y]=ndgrid((1:512)-mean(1:512));
MB=rescale(-x*sind(45)+y*cosd(45),0,1);
%illumination intensity
MCangle=MB*(0.6)+0.2;%MC=MB*(IMAX-IMIN)+IMIN;
chessintensity=chess.*MCangle;
chessI8=uint8(chessintensity);
imshow(chessI8)
  댓글 수: 2
Joana Teixeira
Joana Teixeira 2022년 3월 17일
It worked!! Thank you so much!! Can you tell what the 0 and 1 do in the rescale function?
Matt J
Matt J 2022년 3월 18일
rescale(A,0,1)
will rescale A so that min(A)=0 and max(A)=1.

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