Fusion and optimized Gabor filter design for object detection

David Weber; David P. Casasent

doi:10.1117/12.222720

3 October 1995 Fusion and optimized Gabor filter design for object detection

David Weber, David P. Casasent

Proceedings Volume 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling; (1995) https://doi.org/10.1117/12.222720
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

We consider the problem of detection of objects in images using one filter based on different 2D Gabor functions. By detection, we mean locating multiple classes of targets with distortions present and in a clutter background. It is also desirable to minimize false alarms due to clutter. Gabor functions (GFs) are Gaussian functions modulated by complex sinusoids. The imaginary (real) part of a GF has been shown to be a good edge (blob) detector. In this work, we use a single filter which is a linear combination of the real and imaginary parts of several GFs. We refer to this as a macro Gabor filter. It is correlated with an input image and then thresholded to detect targets. The new aspects are: combining real and imaginary parts of GFs into one filter, separately optimizing the parameters of the GFs by controlling the shape of the correlation outputs for true classes and clutter and separately optimizing the linear combination coefficients using a new square law perceptron to detect hot and cold objects. We show multi-class distortion invariant detection results with better performance than obtained with other methods.

Citation Download Citation

David Weber and David P. Casasent "Fusion and optimized Gabor filter design for object detection", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222720

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available