Fuzzy connectives for efficient image reduction and speeding up image analysis

Beliakov, Gleb, Das, Gita, Vu, Huy Quan, Wilkin, Tim and Xiang, Yong 2018, Fuzzy connectives for efficient image reduction and speeding up image analysis, IEEE Access, vol. 6, pp. 68403-68414, doi: 10.1109/ACCESS.2018.2879473.

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Title Fuzzy connectives for efficient image reduction and speeding up image analysis
Author(s) Beliakov, GlebORCID iD for Beliakov, Gleb orcid.org/0000-0002-9841-5292
Das, Gita
Vu, Huy Quan
Wilkin, TimORCID iD for Wilkin, Tim orcid.org/0000-0003-4059-1354
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Journal name IEEE Access
Volume number 6
Start page 68403
End page 68414
Total pages 12
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2018
ISSN 2169-3536
Summary OAPA We discuss non-monotone fuzzy connectives in large scale image processing. We present an image reduction algorithm capable of differentiating between fine image details and noise in the image, particularly salt and pepper noise. The reduction algorithm is based on mode-like averaging functions. We compare the performance of the proposed method to the alternative reduction methods on artificial images and on two case studies: content based image retrieval and pedestrian detection. Our algorithm improves the speed of the subsequently applied image analysis methods and allows efficient filtering of salt and pepper noise. Applications to on-board image recognition in autonomous robotic devices are envisaged.
Language eng
DOI 10.1109/ACCESS.2018.2879473
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018 IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30115447

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