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Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification

Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_1280754

Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification

About this item

Full title

Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification

Publisher

KSII, the Korean Society for Internet Information

Journal title

KSII Transactions on Internet and Information Systems, 2016, 10(4), , pp.1807-1823

Language

English

Formats

Publication information

Publisher

KSII, the Korean Society for Internet Information

More information

Scope and Contents

Contents

Local Binary Pattern (LBP) and its variants have powerful discriminative capabilities but most of them just consider each LBP code independently. In this paper, we propose sub oriented histograms of LBP for smoke detection and image classification. We first extract LBP codes from an image, compute the gradient of LBP codes, and then calculate sub o...

Alternative Titles

Full title

Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_1280754

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_1280754

Other Identifiers

ISSN

1976-7277

E-ISSN

1976-7277

DOI

10.3837/tiis.2016.04.019

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