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Fuzzy connectives for efficient image reduction and speeding up image analysis

journal contribution
posted on 2018-01-01, 00:00 authored by Gleb BeliakovGleb Beliakov, G Das, Quan VuQuan Vu, Tim WilkinTim Wilkin, Yong XiangYong Xiang
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.

History

Journal

IEEE Access

Volume

6

Pagination

68403 - 68414

Publisher

IEEE

Location

Piscataway, N.J.

eISSN

2169-3536

Language

Eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2018 IEEE