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IPCV - Image Processing and Computer Vision Toolbox for Scilab >> Feature Detection, Description and Matching > imdetect_SURF

imdetect_SURF

Detect features from an image with SURF algorithm

Syntax

fobj = imdetect_SURF(im [,hessianThreshold [,nOctaves [,nOctaveLayers [,extended [,upright]]]]])

Parameters

im :

Input image

hessianThreshold :

Threshold for hessian keypoint detector used in SURF. Default value is 1000.

nOctaves :

Number of pyramid octaves the keypoint detector will use. Default value is 4.

nOctaveLayers :

Number of octave layers within each octave. Default value is 2.

extended :

Extended descriptor flag. Default value is 1.

upright :

Up-right or rotated features flag. Default value is 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 SURF method

Examples

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

See also

Authors

Bibliography

1. OpenCV 2.4 Online Documentation


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