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, 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 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 08 Jun 2020, 15:05:47 EST Tue, 09 Jun 2020, 05:03:33 EST Tue, 09 Jun 2020, 06:06:29 EST Thu, 22 Oct 2020, 10:18:45 EST Thu, 22 Oct 2020, 10:22:24 EST Thu, 22 Oct 2020, 10:23:54 EST Thu, 22 Oct 2020, 14:54:24 EST Filtered Full Citation counts:   Cited 14 times in TR Web of Science Cited 18 times in Scopus Search Google Scholar Access Statistics: 25 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.