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Fernisha SR, Christopher CS, Lyernisha SR. Slender Swarm Flamingo optimization-based residual low-light image enhancement network. THE IMAGING SCIENCE JOURNAL 2023. [DOI: 10.1080/13682199.2022.2161156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- S. R. Fernisha
- Information and Communication Engineering, St. Xaviers Catholic College of Engineering, Nagercoil, India
| | - C. Seldev Christopher
- Computer Science and Engineering, St Xaviers Catholic College of Engineering, Nagercoil, India
| | - S. R. Lyernisha
- Information and Communication Engineering, St. Xaviers Catholic College of Engineering, Nagercoil, India
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Detection of Road Images Containing a Counterlight Using Multilevel Analysis. Symmetry (Basel) 2021. [DOI: 10.3390/sym13112210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
In this paper, a method for detecting real-time images that include counterlight produced by the sun, is proposed. It involves applying a multistep analysis of the size, location, and distribution of bright areas in the image. In general, images containing counterlight have a symmetrically high brightness value at a specific location spread over an extremely large region. In addition, the distribution and change in brightness in that specific region have a symmetrically large difference compared with other regions. Through a multistep analysis of these symmetrical features, it is determined whether counterlight is included in the image. The proposed method presents a processing time of approximately 0.7 s and a detection accuracy of 88%, suggesting that the approach can be applied to a safe driving support system for autonomous vehicles.
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