Share Email Print
cover

Proceedings Paper

Edge and corner detection in grayscale and color images using first Fourier basis
Author(s): M. C. Prakash; V. Jagannadan; R. Raghunath Sharma; G. V. Prabhakara Rao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper we present an algorithm for edge and corner detection in the greyscale and colour images using Fourier Amplitude Measure. We use the magnitude of the first Fourier basis to detect changes in the image intensity profile. We show the mathematical equivalence of the first Fourier co-efficient to that of the first order partial derivatives. Thus we interpret these coefficients as an estimate of the derivative measure and call them as Fourier Derivative Estimate. We then modify the first order derivative based method used for edge and corner detection using the Fourier Derivative Estimates (FDE) to produce robust edges and corner points. We compare the repeatability rate between FDE method and first order derivative methods in grayscale images. We then show examples where in, the generalization of this method to color images is found to be stable under illumination, blur, color contrast and affine variations, suggesting the utility of this method for image registration and mosaicing purposes.

Paper Details

Date Published: 24 October 2005
PDF: 6 pages
Proc. SPIE 6006, Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision, 60060R (24 October 2005); doi: 10.1117/12.629860
Show Author Affiliations
M. C. Prakash, GE Global Research (India)
V. Jagannadan, Sri Sathya Sai Institute of Higher Learning (India)
R. Raghunath Sharma, Sri Sathya Sai Institute of Higher Learning (India)
G. V. Prabhakara Rao, Sri Sathya Sai Institute of Higher Learning (India)
Rajeev Gandhi Memorial College of Engineering and Technology (India)


Published in SPIE Proceedings Vol. 6006:
Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

© SPIE. Terms of Use
Back to Top