On the classification of image features

Venkatesh, Svetha and Owens, Robyn 1990, On the classification of image features, Pattern recognition letters, vol. 11, no. 5, pp. 339-349, doi: 10.1016/0167-8655(90)90043-2.

Attached Files
Name Description MIMEType Size Downloads

Title On the classification of image features
Author(s) Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Owens, Robyn
Journal name Pattern recognition letters
Volume number 11
Issue number 5
Start page 339
End page 349
Total pages 11
Publisher Elsevier BV
Place of publication Amsterdam, Netherlands
Publication date 1990-05
ISSN 0167-8655
Keyword(s) edge classification
edge detection
Hilbert transform
local energy
Summary While the primary purpose of edge detection schemes is to be able to produce an edge map of a given image, the ability to distinguish between different feature types is also of importance. In this paper we examine feature classification based on local energy detection and show that local energy measures are intrinsically capable of making this classification because of the use of odd and even filters. The advantage of feature classification is that it allows for the elimination of certain feature types from the edge map, thus simplifying the task of object recognition.
Language eng
DOI 10.1016/0167-8655(90)90043-2
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©1990, Published by Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044244

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 77 times in TR Web of Science
Scopus Citation Count Cited 105 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 638 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 05 Apr 2012, 16:00:29 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.