Nonlinear correlation by using invariant identity vectors signatures to identify different species of fish

Claudia Fimbres-Castro; Josué Álvarez-Borrego

doi:10.1117/12.2025793

18 November 2013 Nonlinear correlation by using invariant identity vectors signatures to identify different species of fish

Claudia Fimbres-Castro, Josué Álvarez-Borrego

Author Affiliations +

Proceedings Volume 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications; 8785E2 (2013) https://doi.org/10.1117/12.2025793
Event: 8th Ibero American Optics Meeting/11th Latin American Meeting on Optics, Lasers, and Applications, 2013, Porto, Portugal

Abstract

In this work a new methodology to recognize objects is presented. This system is invariant to position, rotation and scale by using identity vectors signatures I_s obtained for both the target and the problem image. In this application, I_s are obtained by means of a simplification of the main features of the original image in addition of the properties of the Fourier transform. The nonlinear correlation by using a k^th law is used to obtain the digital correlation providing information on the similarity between different objects besides their great capacity to discriminate them even when are very similar. This new methodology recognizes objects in a more simple way providing a significant reduction of the image information of size m x n to one-dimensional vector of 1 x 256 consequently with low computational cost of approximately 0.02 s per image. In addition, the statistics of Euclidean distances is used as an alternative methodology for comparison of identity vectors signatures. Also, experiments were carried out in order to find the noise tolerance. The invariant to position, rotation and scale of this digital system was tested with different species of fish (real images). The results obtained have a confidence level above 95.4%.

Citation Download Citation

Claudia Fimbres-Castro, Claudia Fimbres-Castro, Josué Álvarez-Borrego, Josué Álvarez-Borrego, "Nonlinear correlation by using invariant identity vectors signatures to identify different species of fish", Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 8785E2 (18 November 2013); doi: 10.1117/12.2025793; https://doi.org/10.1117/12.2025793

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years