Local binary patterns on hexagonal image structure

He Xiangjian; Li Jianmin; Jia Wenjing; Wu Qiang; Tom Hintz

doi:10.1109/CIT.2007.4385156

Local binary patterns on hexagonal image structure

He Xiangjian, Li Jianmin, Jia Wenjing, Wu Qiang, Tom Hintz

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Local Binary Pattern (LBP) was designed and widely used for efficient texture classification. It has been used for face recognition and has potential applications in many other research areas such as human detection. LBP provides a simple and effective way to represent patterns. Uniform LBPs play an important role for LBP-based pattern /object recognition as they include majority of LBPs. In this paper, we present LBP codes on hexagonal image structure. We show that LBPs defined on hexagonal structure have higher percentages of uniform LBPs that will lead to a more efficient and accurate recognition scheme for image classification.

Original language	English
Title of host publication	CIT 2007
Subtitle of host publication	7th IEEE International Conference on Computer and Information Technology
Pages	639-644
Number of pages	6
DOIs	https://doi.org/10.1109/CIT.2007.4385156
Publication status	Published - 2007
Externally published	Yes
Event	CIT 2007: 7th IEEE International Conference on Computer and Information Technology - Aizu-Wakamatsu, Fukushima, Japan Duration: 16 Oct 2007 → 19 Oct 2007

Publication series

Name	CIT 2007: 7th IEEE International Conference on Computer and Information Technology

Conference

Conference	CIT 2007: 7th IEEE International Conference on Computer and Information Technology
Country/Territory	Japan
City	Aizu-Wakamatsu, Fukushima
Period	16/10/07 → 19/10/07

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Software
General Mathematics

Access to Document

10.1109/CIT.2007.4385156

Cite this

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title = "Local binary patterns on hexagonal image structure",

abstract = "Local Binary Pattern (LBP) was designed and widely used for efficient texture classification. It has been used for face recognition and has potential applications in many other research areas such as human detection. LBP provides a simple and effective way to represent patterns. Uniform LBPs play an important role for LBP-based pattern /object recognition as they include majority of LBPs. In this paper, we present LBP codes on hexagonal image structure. We show that LBPs defined on hexagonal structure have higher percentages of uniform LBPs that will lead to a more efficient and accurate recognition scheme for image classification.",

author = "He Xiangjian and Li Jianmin and Jia Wenjing and Wu Qiang and Tom Hintz",

year = "2007",

doi = "10.1109/CIT.2007.4385156",

language = "English",

isbn = "0769529836",

series = "CIT 2007: 7th IEEE International Conference on Computer and Information Technology",

pages = "639--644",

booktitle = "CIT 2007",

note = "CIT 2007: 7th IEEE International Conference on Computer and Information Technology ; Conference date: 16-10-2007 Through 19-10-2007",

}

Xiangjian, H, Jianmin, L, Wenjing, J, Qiang, W & Hintz, T 2007, Local binary patterns on hexagonal image structure. in CIT 2007: 7th IEEE International Conference on Computer and Information Technology., 4385156, CIT 2007: 7th IEEE International Conference on Computer and Information Technology, pp. 639-644, CIT 2007: 7th IEEE International Conference on Computer and Information Technology, Aizu-Wakamatsu, Fukushima, Japan, 16/10/07. https://doi.org/10.1109/CIT.2007.4385156

Local binary patterns on hexagonal image structure. / Xiangjian, He; Jianmin, Li; Wenjing, Jia et al.
CIT 2007: 7th IEEE International Conference on Computer and Information Technology. 2007. p. 639-644 4385156 (CIT 2007: 7th IEEE International Conference on Computer and Information Technology).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Local binary patterns on hexagonal image structure

AU - Xiangjian, He

AU - Jianmin, Li

AU - Wenjing, Jia

AU - Qiang, Wu

AU - Hintz, Tom

PY - 2007

Y1 - 2007

N2 - Local Binary Pattern (LBP) was designed and widely used for efficient texture classification. It has been used for face recognition and has potential applications in many other research areas such as human detection. LBP provides a simple and effective way to represent patterns. Uniform LBPs play an important role for LBP-based pattern /object recognition as they include majority of LBPs. In this paper, we present LBP codes on hexagonal image structure. We show that LBPs defined on hexagonal structure have higher percentages of uniform LBPs that will lead to a more efficient and accurate recognition scheme for image classification.

AB - Local Binary Pattern (LBP) was designed and widely used for efficient texture classification. It has been used for face recognition and has potential applications in many other research areas such as human detection. LBP provides a simple and effective way to represent patterns. Uniform LBPs play an important role for LBP-based pattern /object recognition as they include majority of LBPs. In this paper, we present LBP codes on hexagonal image structure. We show that LBPs defined on hexagonal structure have higher percentages of uniform LBPs that will lead to a more efficient and accurate recognition scheme for image classification.

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U2 - 10.1109/CIT.2007.4385156

DO - 10.1109/CIT.2007.4385156

M3 - Conference contribution

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SN - 0769529836

SN - 9780769529837

T3 - CIT 2007: 7th IEEE International Conference on Computer and Information Technology

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T2 - CIT 2007: 7th IEEE International Conference on Computer and Information Technology

Y2 - 16 October 2007 through 19 October 2007

ER -

Local binary patterns on hexagonal image structure

Abstract

Publication series

Conference

ASJC Scopus subject areas

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