Shape recognition using DRFT-based correlator

Shape recognition using DRFT-based correlator

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The proposed approach uses two types of correlator. The first is a correlator using DFT to detect the positions of peak values, while the second is a correlator using the discrete rotational Fourier transform (DRFT) to display the correlated images. The purpose of this scheme is to recognise multiple different targets simultaneously.


    1. 1)
      • J.L. Horner , H.O. Bartelt . Two-bit correlation. Appl. Opt. , 18 , 2889 - 2893
    2. 2)
      • A. Mahalanobis , B.V.K.V. Kumar , D. Casasent . Minimum average correlation energy filters. Appl. Opt. , 17 , 3633 - 3640
    3. 3)
      • B. Javidi , J. Wang , Q. Tang . Multiple-object binary joint transform correlation using multiple-levelthreshold crossing. Appl. Opt. , 29 , 4234 - 4244
    4. 4)
      • B. Santhanam , J.H. McClellan . The discrete rotational Fourier transform. IEEE Trans. Signal Process. , 4 , 994 - 998

Related content

This is a required field
Please enter a valid email address