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

imdetect_HARRIS

Detect features from an image with HARRIS algorithm

Syntax

fobj = imdetect_HARRIS(im [,maxCorner [,qualityLevel [,minDistance [,blockSize [,k]]]]]);

Parameters

im :

Input image

maxCorner :

Maximum corders to be returned. Default value is 1000.

qualityLevel :

Parameter characterizing the minimal accepted quality of image corners. Default value is 0.01.

minDistance :

Minimum possible Euclidean distance between the returned corners. Default value is 1.

blockSize :

Size of an average block for computing a derivative covariation matrix over each pixel neighborhood. Default value is 3.

k :

Free parameter of the Harris detector. Default value is 0.04.

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 HARRIS method

Examples

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

See also

Authors

Bibliography

1. OpenCV 2.4 Online Documentation


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