Extending morphological covariance

dc.authorid Aptoula, Erchan/0000-0001-6168-2883
dc.authorscopusid 23396161700
dc.authorwosid Aptoula, Erchan/AAI-1070-2020
dc.contributor.author Aptoula, Erchan
dc.date.accessioned 2024-05-25T11:24:12Z
dc.date.available 2024-05-25T11:24:12Z
dc.date.issued 2012
dc.department Okan University en_US
dc.department-temp Okan Univ, TR-34959 Istanbul, Turkey en_US
dc.description Aptoula, Erchan/0000-0001-6168-2883 en_US
dc.description.abstract Mathematical morphology conversely to linear image analysis approaches specialises in capturing the spatial relations among pixels. This inherent potential has been exploited in the context of texture characterisation, with granulometry along with morphological covariance being the two main tools of the morphological arsenal for this task However, with the advent of new and powerful texture analysis approaches in the last years (e.g. local binary patterns, MR8), they have been left relatively behind the state-of-the-art, in the light of the present challenges of this field, particularly illumination, rotation and scale invariant characterisation. In this paper, we present a set of extensions for morphological covariance, inspired from differential morphological profiles, that enhance its rotation and illumination invariance capacity. The proposed approach is tested extensively against the state-of-the-art, using the Outex, CUReT, KTH-TIPS, KTH-TIPS2 and ALOT databases, where it exhibits either a superior or comparable performance. (C) 2012 Elsevier Ltd. All rights reserved. en_US
dc.identifier.citationcount 18
dc.identifier.doi 10.1016/j.patcog.2012.06.004
dc.identifier.endpage 4535 en_US
dc.identifier.issn 0031-3203
dc.identifier.issn 1873-5142
dc.identifier.issue 12 en_US
dc.identifier.scopus 2-s2.0-84864279787
dc.identifier.scopusquality Q1
dc.identifier.startpage 4524 en_US
dc.identifier.uri https://doi.org/10.1016/j.patcog.2012.06.004
dc.identifier.uri https://hdl.handle.net/20.500.14517/785
dc.identifier.volume 45 en_US
dc.identifier.wos WOS:000308271000036
dc.identifier.wosquality Q1
dc.language.iso en
dc.publisher Elsevier Sci Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 22
dc.subject Mathematical morphology en_US
dc.subject Texture analysis en_US
dc.subject Morphological covariance en_US
dc.title Extending morphological covariance en_US
dc.type Article en_US
dc.wos.citedbyCount 18

Files