dilatecv

Dilates the given image, handle.

Syntax

R = dilatecv(handle, kernel...)

R = dilatecv(handle, kernel, anchor, iterations, type, color)

Inputs

handle
Handle of an image.
Type: integer
kernel
Structuring element used for dilation. This can be created using the command getstructuringelementcv. An empty matrix, [] can also be used and a default structuring element will be used.
Type: integer | mat
anchor
Optional vector of 2 integers specifying the anchor position. Default value is [-1 -1], indicating the anchor is at the center of the element.
Type: vector
iterations
Optional parameter specifying the number of times dilation is applied. Default value is 1.
Type: integer
type
Optional parameter specifying the pixel extrapolation method. Default value is 0. Valid values are:
0
Type cv::BORDER_CONSTANT - default value
1
Type cv::BORDER_REPLICATE
2
Type cv::BORDER_REFLECT
4
Type cv::BORDER_REFLECT_101
16
Type cv::BORDER_ISOLATED
Type: integer
color
Optional 3-element vector of integers representing blue, green, red (BGR) colors, if type is 0. Black will be the default color if nothing is specified with type.
Type: vector

Outputs

r
Handle of the dilated image.
Type: integer

Examples

Dilate an image with default options:
handle = imreadcv('image1.jpg');
R = dilatecv(handle, []);
Dilate an image with constant blue border:
handle = imreadcv('image1.jpg');
kernel = getstructuringelementcv(1, [10 10]);
R = dilatecv(handle, kernel, [-1 -1], 1, 0, [255 0 0]);
Detect the edges and dilate the output:
imgoriginal = imreadcv('Dog.jpg',1);
figure(1);
imshowcv(imgoriginal);

%Conver the image to gray scale
img = cvtcolorcv(imgoriginal, 6);

edges = cannycv(img, 70, 180);
dilatededges = dilatecv(edges, []);

figure(2);
imshowcv(erodededges);


Figure 1. Input image


Figure 2. Output image