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dc.contributor.authorKhan, Masood Mehmood
dc.date.accessioned2019-02-19T04:18:05Z
dc.date.available2019-02-19T04:18:05Z
dc.date.created2019-02-19T03:58:19Z
dc.date.issued2018
dc.identifier.citationKhan, M.M. 2018. A Novel Feature Space for Classifying Textures and Objects in Low-Resolution Infrared Images, 2018 International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 128-134: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/74810
dc.description.abstract

This paper reports formation of a novel feature set for classifying textures in low-resolution thermal infrared (TIR) images like the ones acquired during aerial and ground operations of robotic vehicles. The proposed 3-component feature set includes energy coefficients obtained via 3-level overcomplete wavelet decomposition of subimages; three compact statistical descriptors derived from the grey-level co-occurrence matrices of TIR images and; a fractional energy descriptor ?. The energy descriptor ? accounts for emissivity related grey-level variations in the imaged object’s surface. Thus ? would provide succinct information about the influence of the imaged surface characteristics (shape, ambience and tidiness) on grey-level distribution in the image/surface. A fuzzy K-nearest neighbor classifier was used for labelling the image vectors. The reported results show that the proposed feature space would be helpful in classifying textures acquired from a distance under difficult illumination conditions.

dc.publisherIEEE
dc.titleA Novel Feature Space for Classifying Textures and Objects in Low-Resolution Infrared Images
dc.typeConference Paper
dcterms.source.volume1
dcterms.source.startPage128
dcterms.source.endPage134
dcterms.source.titleISBN: 978-1-5386-6602-9
dcterms.source.seriesISBN: 978-1-5386-6602-9
dcterms.source.isbn978-1-5386-6602-9
dcterms.source.conference2018 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
dcterms.source.placeNew York
curtin.departmentSchool of Civil and Mechanical Engineering (CME)
curtin.accessStatusFulltext not available


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