subtract each pixel from average pixel value
3 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Harshit Kaushik
el 17 de Mayo de 2019
Comentada: Image Analyst
el 11 de Nov. de 2019
i have taken mean pixel value of an image and now i have to subtract from each pixel value of the image the average pixel value...how can i do it?
0 comentarios
Respuesta aceptada
Matt J
el 17 de Mayo de 2019
It seems deceptively simple...
Image-meanValue
4 comentarios
Sara AR
el 11 de Nov. de 2019
how can i remove the mean value of the 7x7 pixels around a picture? and lets say the picture is 512*512?
Image Analyst
el 11 de Nov. de 2019
Use conv2().
kernel = ones(7, 7);
kernel(4, 4) = 0; % Don't include central pixel when computing mean.
kernel = kernel / sum(kernel(:)); % Normalize. Mean is the sum of the 48 pixels divided by 48
blurredImage = conv2(double(grayImage), kernel, 'same'); % Get mean in a 7x7 window around every pixel.
output = double(grayImage) - blurredImage; % Subtract local mean.
You can do it without creating a temporary image if you construct the kernel differently:
kernel = -ones(7, 7); % Minus 1 means subtract the values.
kernel(4, 4) = 0; % Don't include central pixel when computing mean.
kernel = kernel / sum(kernel(:)); % Normalize. Mean is the sum of the 48 pixels divided by 48
kernel(4,4) = 1;
output = conv2(double(grayImage), kernel, 'same');
Más respuestas (1)
Image Analyst
el 17 de Mayo de 2019
Try (for an integer gray level image):
newImage = double(yourImage) - meanValue;
where you said you already have the meanValue, or
meanValue = mean2(yourImage);
if you don't.
newImage will be a floating point image, which is the only way to handle negative values in the subtraction.
2 comentarios
Image Analyst
el 12 de Oct. de 2019
Correct. And since about half the values will be negative if you subtract the mean, the accepted answer will be wrong for about half the pixels, whereas my code won't be wrong for any of them.
Ver también
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!