Show simple item record

dc.contributor.authorMahmood, A.
dc.contributor.authorBennamoun, M.
dc.contributor.authorAn, Senjian
dc.contributor.authorSohel, F.
dc.contributor.authorBoussaid, F.
dc.contributor.authorHovey, R.
dc.contributor.authorKendrick, G.
dc.contributor.authorFisher, R.
dc.date.accessioned2018-08-08T04:44:13Z
dc.date.available2018-08-08T04:44:13Z
dc.date.created2018-08-08T03:50:34Z
dc.date.issued2016
dc.identifier.citationMahmood, A. and Bennamoun, M. and An, S. and Sohel, F. and Boussaid, F. and Hovey, R. and Kendrick, G. et al. 2016. Coral classification with hybrid feature representations, pp. 519-523.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/70267
dc.identifier.doi10.1109/ICIP.2016.7532411
dc.description.abstract

© 2016 IEEE. Coral reefs exhibit significant within-class variations, complex between-class boundaries and inconsistent image clarity. This makes coral classification a challenging task. In this paper, we report the application of generic CNN representations combined with hand-crafted features for coral reef classification to take advantage of the complementary strengths of these representation types. We extract CNN based features from patches centred at labelled pixels at multiple scales. We use texture and color based hand-crafted features extracted from the same patches to complement the CNN features. Our proposed method achieves a classification accuracy that is higher than the state-of-art methods on the MLC benchmark dataset for corals.

dc.titleCoral classification with hybrid feature representations
dc.typeConference Paper
dcterms.source.volume2016-August
dcterms.source.startPage519
dcterms.source.endPage523
dcterms.source.titleProceedings - International Conference on Image Processing, ICIP
dcterms.source.seriesProceedings - International Conference on Image Processing, ICIP
dcterms.source.isbn9781467399616
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record