Role of linguistic quantifier and digitally approximated Laplace operator in infrared based ship detection

Ruchika Singh (), Munish Vashisht () and S. Qamar
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Ruchika Singh: Krishna Institute of Engineering and Technology
Munish Vashisht: YMCA University of Science and Technology
S. Qamar: Noida Institute of Engineering and Technology

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 63, 1336-1342

Abstract: Abstract Due to high sensitivity of strategical importance of sea border, detection of motion of enemy’s military troops and arms may play a crucial role. Attack of 26, November, 2008 on Mumbai, commercial capital of India, is the result of such type of piercing of water territory. Hence, this paper proposed new Threshold based ship detection method. Infrared image of ship in sea water used as input. To specify appropriate threshold Yager’s Linguistic quantifier ‘most’, ‘at least half’, and ‘as many as possible’ are used. Moreover edge based segmentation of thresholding images is carried out by using Laplacian operator. It is observed threshold generated by ‘at least half’ and ‘as many as possible’ quantifier are closer to visual heuristic threshold. It is also found linguistic quantifier based thresholding has generated clear edge to separate ship from background along with digital approximation of Laplace operator than other methods.

Keywords: Edge detection; Laplace operator; Thresholding; Linguistic quantifier (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-017-0604-x

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