So I have attached the image of coins I am using. I need to make this image black and white but it's just showing an area whole filled with white. When I run on coins.tif file provided in MATLAB, my code works fine but not on this image. Please tell me where I am going wrong. TIA
Image = imread('Coin.jpg');
[rows, columns, numberOfColorBands] = size(Image);
if numberOfColorBands > 1
grayImage = rgb2gray(Image);
else
grayImage = Image;
end
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
binaryImage = imbinarize(grayImage);
subplot(3, 1, 1);
imshow(Image, []);
subplot(3, 1, 2);
imshow(grayImage, []);
subplot(3, 1, 3);
imshow(binaryImage, []);
The best binary image I could get is by using this line
binaryImage = imbinarize(grayImage,'adaptive','ForegroundPolarity','bright','Sensitivity',0.13);
But still I am getting numerous white dots here and there in the black area like this.

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drummer
drummer 2020년 11월 1일
편집: drummer 2020년 11월 1일

0 개 추천

by using size, you're obtaining the dimension information of the image. So your 3rd coordinate (numberOfColorBands) would be the position in the stack (of a volumetric image), and not the # channels of your image.
Try using
info = imfinfo('yourImage')
% Then, use info in your if condition.
Cheers

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SURBHI GOEL
SURBHI GOEL 2020년 11월 1일
Thanks but can you please tell which field of info to use in if condition? Is it NumberOfSamples?
Well,
info.BitDepth
didn't work?
Check the linked documentation in FYI. There's plenty of information there. Perhaps it might help you.
Cheers
SURBHI GOEL
SURBHI GOEL 2020년 11월 1일
Also anyway I can directly do grayImage = rgb2gray(Image); without using the if condition, so that's not the problem. Problem is how to binarize.
drummer
drummer 2020년 11월 1일
Well, I see you could get your binary image.
To improve the noise in the black background, you can dilate/erode your B&W output.
SURBHI GOEL
SURBHI GOEL 2020년 11월 1일
Thanks a lot. Erosion worked.

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