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

imdetect_DENSE

Detect features from an image with DENSE algorithm

Syntax

fobj = imdetect_DENSE(im [,initFeatureScale [,featureScaleLevels [,featureScaleMul [,initXyStep [,initImgBound [,varyXyStepWithScale [,varyImgBoundWithScale]]]]]]]);

Parameters

im :

Input image

initFeatureScale :

Default value is 1.

featureScaleLevels :

Default value is 1.

featureScaleMul :

Default value is 0.1.

initXyStep :

Default value is 6.

initImgBound :

Default value is 0.

varyXyStepWithScale :

Default value is 1.

varyImgBoundWithScale :

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 DENSE method

Examples

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

See also

Authors

Bibliography

1. OpenCV 2.4 Online Documentation


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