findcontourscv

Syntax

R = findcontourscv(handle, mode, method...)

R = findcontourscv(handle, mode, method, offset, color, thickness, type)

Inputs

handle

Handle of an image.

Type: integer

mode

Contour retrieval mode. Valid values are:

0

Mode cv::RETR_EXTERNAL: Retrieves extreme outer contours.

1

Type cv::RETR_LIST: Retrieves all contours.

2

Type cv::RETR_CCOMP: Retrieves contours, organizes in 2-level hierarchy.

3

Type cv::RETR_TREE: Retrieves contours, reconstructs full hierarchy of nested contours.

4

Type cv::RETR_FLOODFILL

Type: integer

method

Contour approximation method. Valid values are:

1

Mode cv::CHAIN_APPROX_NONE: Stores all contour points.

2

Type cv::CHAIN_APPROX_SIMPLE: Compresses horizontal, vertical and diagonal segments.

3

Type cv::CHAIN_APPROX_TC89_L1: Applies a flavor of Teh-Chin chain approximation algorithm.

4

Type cv::CHAIN_APPROX_TC89_KCOS: Applies a flavor of Teh-Chin chain approximation algorithm.

Type: integer

offset

Optional offset by which every contour point is shifted. Must be a two-element integral vector.

Type: vector

color

Optional color used for drawing contours. If no color is specified, randomized colors are used. If specified, it must be a 3-element integral vector.

Type: vector

thickness

Optional parameter specifying the thickness of the contour line drawn. Default value is 1.

Type: integer

type

Optional parameter specifying the type of contour drawn. Default value of type is 8. Valid values are:

1

cv::FILLED: Filled line.

4

cv::LINE_4: Line is drawn using 4-connected Bresenham algorithm.

8(default)

cv::LINE_8: Line is drawn using 8-connected Bresenham algorithm.

16

cv::LINE_AA: Antialiased line.

Type: integer

Outputs

R

Handle of the output image.

Type: integer

Example

Find and draw contours:

src = imreadcv('cv2.jpg');
mode = 0;
method = 2;
R = findcontourscv(src, mode, method);