mergecv

Syntax

handle = mergecv(r, g, b)

handle = mergecv(r, g, b, a)

handle = mergecv(m)

Inputs

r

Handle of the single channel image or a real, 2D matrix representing the red channel. An empty matrix ([]) can be used to supress red channel in handle.

Type: integer | mat

g

Handle of the single channel image or a real, 2D matrix representing the green channel. An empty matrix ([]) can be used to supress green channel in handle.

Type: integer | mat

b

Handle of the single channel image or a real, 2D matrix representing the blue channel. An empty matrix ([]) can be used to supress blue channel in handle.

Type: integer | mat

a

Handle of the single channel image or a real, 2D matrix representing the alpha channel. An empty matrix ([]) can be used to supress alpha channel in handle.

Type: integer | mat

m

3D or 4D real matrix representing image data.

Type: n-dimensional matrix

Outputs

handle

Handle of the merged image.

Type: integer

Examples:

cvhandle = imreadcv('image1.jpg');
[r, g, b] = splitcv(cvhandle);
mergedhandle = mergecv(r, g, b);

Merge an image, supressing the green and blue channels:

cvhandle = imreadcv('bird5.jpg');
[r, g, b] = splitcv(cvhandle);
mergedhandle = mergecv(r, [], []); % Shows only the red channel

Figure 1. Input image

Figure 2. Output image

Merge the RGB channels and create one merged image:

%Read image
img = imreadcv('RGBchannels.jpg',1);

[blue, green, red] = splitcv(img);

figure(1);
imshowcv(blue);

figure(2);
imshowcv(red);

figure(3);
imshowcv(green);

merged = mergecv(red,green,blue);

figure(4);
imshowcv(merged);

Figure 3. Blue channel

Figure 4. Red channel

Figure 5. Green channel

Figure 6. Merged image

cvhandle = imreadcv('image1.jpg');
[r, g, b] = splitcv(cvhandle);
imsize = imsizecv(r);
mergedhandle = mergecv(r, ones(imsize(1),imsize(2)), []);

Merge an image using a 3D matrix:

cvhandle = imreadcv('bird5.jpg');
m = getcv(cvhandle);
m(:,:,1) = 0; % Modify the image data
R = mergecv(m);

Figure 7. Input image

Figure 8. Output image