gray image to 8 bit planes using bit plane slicing
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i have written a code to find the 8 bit planes of the gray image. i saved those images which should be in binary now. but when i am reading those images it is showing its pixel values few 0 and most 255 in binary only 0's and 1's should be there and when i did this size(d) it displayed 598 931 3.
i want it to be a in a form of 2-d array matrix with only 0's and 1's
can any one tell me what is the problem occurring?
A=imread('boy.tif');
B=bitget(A,1); figure, imshow(logical(B));title('Bit plane 1');
B=bitget(A,2); figure, imshow(logical(B));title('Bit plane 2');
B=bitget(A,3); figure, imshow(logical(B));title('Bit plane 3');
B=bitget(A,4); figure, imshow(logical(B));title('Bit plane 4');
B=bitget(A,5); figure, imshow(logical(B));title('Bit plane 5');
B=bitget(A,6); figure, imshow(logical(B));title('Bit plane 6');
B=bitget(A,7); figure, imshow(logical(B));title('Bit plane 7');
B=bitget(A,8); figure, imshow(logical(B));title('Bit plane 8');
this what i used then gave names to each of them
and when i read d=imread('bp0.tif') its giving 0 and 255 (only 0 and 255) i want ones and zeros and size should be a 2-d array why does it show 598 931 3
5 个评论
Walter Roberson
2020-4-16
abdul, none of that appears to be a question about MATLAB. Python has a large active community that you can be talking to, somewhere else.
Image Analyst
2020-4-16
Abdul, I've attached a bit plane viewer program to my answer below, and here. But it uses MATLAB, not Python and OpenCV. Maybe it will persuade you to dump Python and switch to MATLAB. ?
采纳的回答
Image Analyst
2013-5-29
编辑:Image Analyst
2020-4-16
You have a color image. I don't know what bitget() returns or means in the case of a 3 plane color image. Why don't you use rgb2gray() or extract one of the color channels?
% Get the dimensions of the image.
% numberOfColorBands should be = 1.
[rows, columns, numberOfColorBands] = size(B);
if numberOfColorBands > 1
% It's not really gray scale like we expected - it's color.
% Convert it to gray scale.
grayImage = rgb2gray(B); % Take weighted average of channels.
end
or
% Extract the individual red, green, and blue color channels.
redChannel = B(:, :, 1);
greenChannel = B(:, :, 2);
blueChannel = B(:, :, 3);
Let us know what happens after that.
Also, see my attached bit plane viewer program.
15 个评论
Image Analyst
2013-5-30
None of that is necessary. It looks like you're trying to calculate the entropy. If so, just do this:
entropyOfThisImage = entropy(d);
更多回答(2 个)
humbertinnho
2017-3-21
编辑:humbertinnho
2017-3-21
Ps.: Img is a 2D Image (gray colors only):
function y = Linear_Bit( Img )
b1 = double(bitget(Img,1));
b2 = double(bitget(Img,2));
b3 = double(bitget(Img,3));
b4 = double(bitget(Img,4));
b5 = double(bitget(Img,5));
b6 = double(bitget(Img,6));
b7 = double(bitget(Img,7));
b8 = double(bitget(Img,8));
Img_b = cat(8,b1,b2,b3,b4,b5,b6,b7,b8);
figure,
imshow(Img), title('Original:');
figure,
subplot(2,2,1)
imshow(b1), title('Bit Plan: 1');
subplot(2,2,2)
imshow(b2), title('Bit Plan: 2');
subplot(2,2,3)
imshow(b3), title('Bit Plan: 3');
subplot(2,2,4)
imshow(b4), title('Bit Plan: 4');
figure,
subplot(2,2,1)
imshow(b5), title('Bit Plan: 5');
subplot(2,2,2)
imshow(b6), title('Bit Plan: 6');
subplot(2,2,3)
imshow(b7), title('Bit Plan: 7');
subplot(2,2,4)
imshow(b8), title('Bit Plan: 8');
y = Img_b;
If you want to add Planes, u can use this:
Img_b = uint8(Linear_Bit(Img));
b1 = Img_b(:,:,1);
b2 = Img_b(:,:,2)*2;
b3 = Img_b(:,:,3)*4;
b4 = Img_b(:,:,4)*8;
b5 = Img_b(:,:,5)*16;
b6 = Img_b(:,:,6)*32;
b7 = Img_b(:,:,7)*64;
b8 = Img_b(:,:,8)*128;
...and just add like
New_Image = b7 + b8;
imshow(New_Image);
0 个评论
Sufyan Parkar
2019-4-19
A=imread('boy.tif');
B=rgb2gray(A); %..............as for me i took a color image so i had to do rgb2gray
% the workspace shows the dimensions of the image and mine was 435x580 and the class of my grayscale image was uint8 thus it required 8bits
%hence to extract the plane i performed bitand of B and the binary equivalent of the required plane
for i=1:435
for j=1:580
MSB(i,j)=bitand(B(i,j),bin2dec('10000000'));
LSB(i,j)=bitand(B(i,j),bin2dec('00000001'));
2nd(i,j)=bitand(B(i,j),bin2dec('01000000'));
3rd(i,j)=bitand(B(i,j),bin2dec('00100000'));
4th(i,j)=bitand(B(i,j),bin2dec('00010000'));
5th(i,j)=bitand(B(i,j),bin2dec('00001000'));
6th(i,j)=bitand(B(i,j),bin2dec('00000100'));
7th(i,j)=bitand(B(i,j),bin2dec('00000010'));
end
end
figure,imshow(MSB);
figure,imshow(LSB);
figure,imshow(2nd);
figure,imshow(3rd);
figure,imshow(4th);
figure,imshow(5th);
figure,imshow(6th);
figure,imshow(7th);
%this will give you all the 8bit-plane
4 个评论
Vivek
2023-8-9
Thank you. I used your code but how can I save the all bitplane extracted images? So I convert this code into simple form which is look like this.
Image Analyst
2023-8-9
Otherwise (less likely) if you want to save all the individual arrays to a variable for some reason (instead of just using bitPlaneImage immediately in the loop), then you can write them to a cell array
% Compute the bit plane image and save as a cell in an 8 element cell array.
bitPlaneImage{bp} = bitget(grayImage, bp+1);
% bitPlaneImage = bitand(grayImage, 2^bp);
% Display it as pure black and white (not gray scale).
imshow(bitPlaneImage{bp}, []);
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