The University of Southampton
University of Southampton Institutional Repository

Bessel Filter Analysis

Bessel Filter Analysis
Bessel Filter Analysis
In this technical report, we prove two fundamental theorems for an edge detection algorithm based on a Bessel filter. These theorems are bases of a scale invariant feature extraction method in which extracted features are independent of scale.
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf

Mahmoodi, Sasan (2010) Bessel Filter Analysis (In Press)

Record type: Monograph (Project Report)

Abstract

In this technical report, we prove two fundamental theorems for an edge detection algorithm based on a Bessel filter. These theorems are bases of a scale invariant feature extraction method in which extracted features are independent of scale.

Text
BesselFilterTheorems.pdf - Other
Download (81kB)

More information

Accepted/In Press date: 9 December 2010
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271766
URI: http://eprints.soton.ac.uk/id/eprint/271766
PURE UUID: 17f161d8-cfa2-4aec-bff4-a9d85ec1f00e

Catalogue record

Date deposited: 09 Dec 2010 11:17
Last modified: 20 Feb 2024 18:05

Export record

Contributors

Author: Sasan Mahmoodi

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×