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imdetect_BRISK

Detect features from an image with BRISK algorithm

Syntax

fobj = imdetect_BRISK(im [,thresh [,octaves [,patternScale]]]);

Parameters

im :

Input image

thresh :

FAST/AGAST detection threshold score. Default value is 30.

octaves :

detection octaves. Use 0 to do single scale. Default value is 3.

patternScale :

apply this scale to the pattern used for sampling the neighbourhood of a keypoint. Default value is 1.0.

fobj :

Features object contains following fields -

type :

Type of features

n :

Numbers of detected features

x :

Coordinates of the detected features - X

y :

Coordinates of the detected features - Y

size :

Size of detected features

angle :

keypoint orientation

response :

The response by which the most strong keypoints have been selected.

octave :

pyramid octave in which the keypoint has been detected

class_id :

object id

Description

This function used to detect the features of an image using BRISK method

Examples

S = imcreatechecker(8,8,[1 0.5]);
fobj = imdetect_BRISK(S);
imshow(S); plotfeature(fobj);

See also

Authors

Bibliography

1. OpenCV 2.4 Online Documentation


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