bitwiseandcv

Performs bitwise union on given inputs, source1 and source2.

Syntax

R = bitwiseandcv(source1, source2)

R = bitwiseandcv(source1, source2, mask)

Inputs

source1
Handle of an image.
Type: integer
source2
Handle of an image or an integer.
Type: integer
mask
Optional handle of an 8-bit single channel image or a 2D matrix of natural numbers representing the elements in R that need to be changed.
Type: integer | mat

Outputs

R
Handle of the output image.
Type: integer

Examples

Apply bitwiseandcv and inrangecv functions to perform cloud detection: 
img = imreadcv('Clouds.jpg', 1);
figure(1); 
imshowcv(img);

white_ = [255, 255, 255];
lowerBound = [200,200,200];

mask = inrangecv(img, lowerBound, white_);
res = bitwiseandcv(img, img, mask);

figure(2); 
imshowcv(res);
Figure 1. Input image


Figure 2. Output image


Do a bitwise union of two images: 

source1 = imreadcv('image1.jpg');
source2 = imreadcv('image2.jpg');
R = bitwiseandcv(source1, source2);
Figure 3. Input image 1


Figure 4. Input image 2


Figure 5. Output image


Do a bitwise union of two images with a mask: 

source1 = imreadcv('image1.jpg');
source2 = imreadcv('image2.jpg');
masksize = imsizecv(source1);
mask = ones(masksize(1), masksize(2));
R = bitwiseandcv(source1, source2, mask);