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Image feature generation using binary patterns—LBP, SLBP and GBP

Image feature generation using binary patterns—LBP, SLBP and GBP
Image feature generation using binary patterns—LBP, SLBP and GBP
Image features play pivotal role in digital image processing and computer vision problems. To retrieve image features accurately and effectively, various texture descriptors are needed. This paper presents a comprehensive evaluation of various descriptors such as local binary pattern (LBP), significant local binary pattern (SLBP), gradient binary pattern (GBP) and its effectiveness in plethora of applications such as medical image analysis, object detection and classification. Moreover, the descriptors are validated using brain tumorous magnetic resonance image (MRI).
Gradient binary pattern, Local binary pattern, MRI, Significant local binary pattern, Texture
2367-3370
233-239
Springer Singapore
Divya, S.
3ee4e63f-4f55-41da-80ae-18de34842645
Suresh, L. Padma
889c4801-773e-4d99-9638-f28436a99906
John, Ansamma
90d64164-ef20-4bc3-9f84-fd5d513a15b0
Fong, Simon
Dey, Nilanjan
Joshi, Amit
Divya, S.
3ee4e63f-4f55-41da-80ae-18de34842645
Suresh, L. Padma
889c4801-773e-4d99-9638-f28436a99906
John, Ansamma
90d64164-ef20-4bc3-9f84-fd5d513a15b0
Fong, Simon
Dey, Nilanjan
Joshi, Amit

Divya, S., Suresh, L. Padma and John, Ansamma (2022) Image feature generation using binary patterns—LBP, SLBP and GBP. Fong, Simon, Dey, Nilanjan and Joshi, Amit (eds.) In ICT Analysis and Applications. vol. 314, Springer Singapore. pp. 233-239 . (doi:10.1007/978-981-16-5655-2_22).

Record type: Conference or Workshop Item (Paper)

Abstract

Image features play pivotal role in digital image processing and computer vision problems. To retrieve image features accurately and effectively, various texture descriptors are needed. This paper presents a comprehensive evaluation of various descriptors such as local binary pattern (LBP), significant local binary pattern (SLBP), gradient binary pattern (GBP) and its effectiveness in plethora of applications such as medical image analysis, object detection and classification. Moreover, the descriptors are validated using brain tumorous magnetic resonance image (MRI).

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LNS_ICT4SD_Vol_2_2021-pages-249-255 - Version of Record
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LNS_ICT4SD Vol 2 2021-pages-249-255
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More information

Published date: 7 January 2022
Venue - Dates: 6th International Conference on ICT for Sustainable Development, ICT4SD 2021, , Virtual Online, 2021-08-05 - 2021-08-06
Keywords: Gradient binary pattern, Local binary pattern, MRI, Significant local binary pattern, Texture

Identifiers

Local EPrints ID: 501849
URI: http://eprints.soton.ac.uk/id/eprint/501849
ISSN: 2367-3370
PURE UUID: e0aa1fde-f957-44b3-a447-efd3f0257459
ORCID for S. Divya: ORCID iD orcid.org/0000-0002-7302-7146

Catalogue record

Date deposited: 11 Jun 2025 16:31
Last modified: 12 Jun 2025 02:24

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Contributors

Author: S. Divya ORCID iD
Author: L. Padma Suresh
Author: Ansamma John
Editor: Simon Fong
Editor: Nilanjan Dey
Editor: Amit Joshi

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