Hierarchical local binary pattern for branch retinal vein occlusion recognition

Zenghai Chen; Hui Zhang; Zheru Chi; Hong Fu

doi:10.1007/978-3-319-16628-5_49

Hierarchical local binary pattern for branch retinal vein occlusion recognition

Zenghai Chen, Hui Zhang, Zheru Chi, Hong Fu

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

Branch retinal vein occlusion (BRVO) is one of the most common retinal vascular diseases of the elderly that would dramatically impair one’s vision if it is not diagnosed and treated timely. Automatic recognition of BRVO could significantly reduce an ophthalmologist’s workload, make the diagnosis more efficient, and save the patients’ time and costs. In this paper, we propose for the first time, to the best of our knowledge, automatic recognition of BRVO using fundus images. In particular, we propose Hierarchical Local Binary Pattern (HLBP) to represent the visual content of an fundus image for classification. HLBP is comprised of Local Binary Pattern (LBP) in a hierarchical fashion with max-pooling. In order to evaluate the performance of HLBP, we establish a BRVO dataset for experiments. HLBP is compared with several state-of-the-art feature presentation methods on the BRVO dataset. Experimental results demonstrate the superior performance of our proposed method for BRVO recognition.

Original language	English
Title of host publication	Computer Vision - ACCV 2014 Workshops - Revised Selected Papers
Publisher	Springer Verlag
Pages	687-697
Number of pages	11
ISBN (Print)	9783319166278
DOIs	https://doi.org/10.1007/978-3-319-16628-5_49
Publication status	Published - 1 Jan 2015
Event	12th Asian Conference on Computer Vision, ACCV 2014 - Singapore, Singapore Duration: 1 Nov 2014 → 5 Nov 2014 Conference number: 12

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9008
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th Asian Conference on Computer Vision, ACCV 2014
Country/Territory	Singapore
City	Singapore
Period	1/11/14 → 5/11/14

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/978-3-319-16628-5_49

Cite this

Chen, Z., Zhang, H., Chi, Z., & Fu, H. (2015). Hierarchical local binary pattern for branch retinal vein occlusion recognition. In Computer Vision - ACCV 2014 Workshops - Revised Selected Papers (pp. 687-697). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9008). Springer Verlag. https://doi.org/10.1007/978-3-319-16628-5_49

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abstract = "Branch retinal vein occlusion (BRVO) is one of the most common retinal vascular diseases of the elderly that would dramatically impair one{\textquoteright}s vision if it is not diagnosed and treated timely. Automatic recognition of BRVO could significantly reduce an ophthalmologist{\textquoteright}s workload, make the diagnosis more efficient, and save the patients{\textquoteright} time and costs. In this paper, we propose for the first time, to the best of our knowledge, automatic recognition of BRVO using fundus images. In particular, we propose Hierarchical Local Binary Pattern (HLBP) to represent the visual content of an fundus image for classification. HLBP is comprised of Local Binary Pattern (LBP) in a hierarchical fashion with max-pooling. In order to evaluate the performance of HLBP, we establish a BRVO dataset for experiments. HLBP is compared with several state-of-the-art feature presentation methods on the BRVO dataset. Experimental results demonstrate the superior performance of our proposed method for BRVO recognition.",

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Chen, Z, Zhang, H, Chi, Z & Fu, H 2015, Hierarchical local binary pattern for branch retinal vein occlusion recognition. in Computer Vision - ACCV 2014 Workshops - Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9008, Springer Verlag, pp. 687-697, 12th Asian Conference on Computer Vision, ACCV 2014, Singapore, Singapore, 1/11/14. https://doi.org/10.1007/978-3-319-16628-5_49

Hierarchical local binary pattern for branch retinal vein occlusion recognition. / Chen, Zenghai; Zhang, Hui; Chi, Zheru et al.
Computer Vision - ACCV 2014 Workshops - Revised Selected Papers. Springer Verlag, 2015. p. 687-697 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9008).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Chen Z, Zhang H, Chi Z, Fu H. Hierarchical local binary pattern for branch retinal vein occlusion recognition. In Computer Vision - ACCV 2014 Workshops - Revised Selected Papers. Springer Verlag. 2015. p. 687-697. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-16628-5_49

Hierarchical local binary pattern for branch retinal vein occlusion recognition

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