Singular Value Decomposition Approach To Edge Detection

A. H. Tewfik

doi:10.1117/12.962325

30 January 1990 Singular Value Decomposition Approach To Edge Detection

A. H. Tewfik

Proceedings Volume 1153, Applications of Digital Image Processing XII; (1990) https://doi.org/10.1117/12.962325
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

Abstract

The positions of edges along each row and column of an NxN image are found by computing the singular value decomposition of a matrix formed with the 2N point 1-D Fast Fourier transform of a symmetric signal corresponding to the row or column and locating the peaks in the inverse of the sum of the absolute values of the 2N point Fast Fourier transforms of the left singular vectors corresponding to the group of smallest singular values of this matrix. The computational complexity of the proposed procedure is essentially 0(1V2log(N)).

Citation Download Citation

A. H. Tewfik "Singular Value Decomposition Approach To Edge Detection", Proc. SPIE 1153, Applications of Digital Image Processing XII, (30 January 1990); https://doi.org/10.1117/12.962325

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