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https://hdl.handle.net/20.500.14279/2545
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Kasparis, Takis | - |
dc.contributor.author | Charalampidis, Dimitrios | - |
dc.contributor.author | Georgiopoulos, Michael N. | - |
dc.contributor.other | Κασπαρής, Τάκης | - |
dc.date.accessioned | 2013-02-18T12:59:03Z | - |
dc.date.accessioned | 2013-05-17T05:30:11Z | - |
dc.date.accessioned | 2015-12-02T11:35:25Z | - |
dc.date.available | 2013-02-18T12:59:03Z | - |
dc.date.available | 2013-05-17T05:30:11Z | - |
dc.date.available | 2015-12-02T11:35:25Z | - |
dc.date.issued | 1998-07-17 | - |
dc.identifier.citation | Signal Processing, Sensor Fusion, and Target Recognition VII, 1998, Orlando, Florida | en_US |
dc.identifier.isbn | 978-3-642-41142-7 | - |
dc.identifier.issn | 0277-786X | - |
dc.identifier.issn | 2-s2.0-84894100156 | - |
dc.identifier.issn | https://api.elsevier.com/content/abstract/scopus_id/84894100156 | - |
dc.description | Part of Artificial Intelligence Applications and Innovations | en_US |
dc.description.abstract | In this paper texture classification is studied based on the fractal dimension (FD) of filtered versions of the image and the Fuzzy ART Map neural network (FAMNN). FD is used because it has shown good tolerance to some image transformations. We implemented a variation of the testing phase of Fuzzy ARTMAP that exhibited superior performance than the standard Fuzzy ARTMAP and the 1-nearest neighbor (1-NN) in the presence of noise. The performance of the above techniques is tested with respect to segmentation of images that include more than one texture. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © 1998 Spie | en_US |
dc.subject | Classification | en_US |
dc.subject | Fractals | en_US |
dc.subject | Computer vision | en_US |
dc.subject | Neural networks | en_US |
dc.title | Texture classification using ART-based neural networks and fractals | en_US |
dc.type | Conference Papers | en_US |
dc.affiliation | University of Central Florida | - |
dc.collaboration | University of Central Florida | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | United States | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | SPIE Conference Proceedings | en_US |
dc.identifier.doi | 10.1117/12.327099 | en_US |
dc.identifier.scopus | 2-s2.0-84894100156 | - |
dc.dept.handle | 123456789/54 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84894100156 | - |
cut.common.academicyear | 1997-1998 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-3486-538x | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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