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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.

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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
1872-7344
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

Document type: Journal Article
Collection: School of Information Technology
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