Encoding visual information using anisotropie transformations

Boccignone, Giuseppe, Ferraro, Mario and Caelli, Terry 2001, Encoding visual information using anisotropie transformations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 2, pp. 207-211, doi: 10.1109/34.908970.

Attached Files
Name Description MIMEType Size Downloads

Title Encoding visual information using anisotropie transformations
Author(s) Boccignone, Giuseppe
Ferraro, Mario
Caelli, TerryORCID iD for Caelli, Terry orcid.org/0000-0001-9281-2556
Journal name IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume number 23
Issue number 2
Start page 207
End page 211
Total pages 5
Publisher IEEE COMPUTER SOC
Publication date 2001-12-01
ISSN 0162-8828
1939-3539
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Engineering
scale space
anisotropic diffusion
entropy production
feature encoding
SCALE-SPACE
EDGE
DIFFUSION
Language eng
DOI 10.1109/34.908970
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0806 Information Systems
0906 Electrical and Electronic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30138459

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

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 14 times in TR Web of Science
Scopus Citation Count Cited 18 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 12 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 08 Jun 2020, 15:05:47 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.