Use all the logic operators discussed previously to darken an image only within a region of interest. Would pixel-by-pixel division be a better way to find the differences between two monochrome images than subtraction, absolute difference, or XOR? Explain.
Use all the logic operators discussed previously to darken an image only within a region of interest. Would pixel-by-pixel division be a better way to find the differences between two monochrome images than subtraction, absolute difference, or XOR? Explain.
Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Use all the logic operators discussed previously to darken an image only within a region of interest.
Would pixel-by-pixel division be a better way to find the differences between two monochrome images than subtraction, absolute difference, or XOR? Explain.
![Logic operators are often used for image masking. We will use the roipoly function to create the image mask.
Once we have a mask, we will use it to perform logic operations on the selected image.
* Use the roipoly function to generate a mask for the pout image.
I = imread ('pout.tif');
SWhat class is the variable bw?
bw = roipoly (I);
Convert the mask image to class uint8.
bw2 = im2uint8 (bw) ;
Use the bitand function to compute the logic AND between the original image and the
new mask image.
12 = bitand (I, bw2);
SWhat happens when we logically AND the two images?
imshow (I2);
SUse the bitcmp function to generate a complemented version of the bw2 mask.
bw_cmp
figure
subplot (1,2,1), imshow (bw2), title('Original Mask');
subplot (1,2,2), imshow (bw_cmp), title ('Complemented Mask');
Use bitor to compute the logic OR between the original image and the complemented
mask.
bitcmp (bw2) ;
bitor (I,bw_cmp);
figure, imshow (I3)
13
SWhy did we need to complement the mask? What would have happened if we used the
original mask to perform the OR operation?
*The XOR operation is commonly used for finding differences between two images.
$Close all open figures and clear all workspace variables.
SUse the bitxor function to find the difference between two images.
close all ;clear;clc;
I = imread ('cameraman.tif');
12 =
imread ('rice.png');
I_xor = bitxor (I,12);
figure
subplot (1,3,1), imshow (I), title (' Image 1');
subplot (1,3,2), imshow (12), title ('Image 2');
subplot (1,3,3), imshow (I_xor, []), title ('XOR Image');](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F83867c2c-bbda-42b3-8c05-985de9965c39%2Ff022c421-52a8-4cfd-bbeb-947cbee2fe2b%2Fd8eb0c_processed.png&w=3840&q=75)
Transcribed Image Text:Logic operators are often used for image masking. We will use the roipoly function to create the image mask.
Once we have a mask, we will use it to perform logic operations on the selected image.
* Use the roipoly function to generate a mask for the pout image.
I = imread ('pout.tif');
SWhat class is the variable bw?
bw = roipoly (I);
Convert the mask image to class uint8.
bw2 = im2uint8 (bw) ;
Use the bitand function to compute the logic AND between the original image and the
new mask image.
12 = bitand (I, bw2);
SWhat happens when we logically AND the two images?
imshow (I2);
SUse the bitcmp function to generate a complemented version of the bw2 mask.
bw_cmp
figure
subplot (1,2,1), imshow (bw2), title('Original Mask');
subplot (1,2,2), imshow (bw_cmp), title ('Complemented Mask');
Use bitor to compute the logic OR between the original image and the complemented
mask.
bitcmp (bw2) ;
bitor (I,bw_cmp);
figure, imshow (I3)
13
SWhy did we need to complement the mask? What would have happened if we used the
original mask to perform the OR operation?
*The XOR operation is commonly used for finding differences between two images.
$Close all open figures and clear all workspace variables.
SUse the bitxor function to find the difference between two images.
close all ;clear;clc;
I = imread ('cameraman.tif');
12 =
imread ('rice.png');
I_xor = bitxor (I,12);
figure
subplot (1,3,1), imshow (I), title (' Image 1');
subplot (1,3,2), imshow (12), title ('Image 2');
subplot (1,3,3), imshow (I_xor, []), title ('XOR Image');
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