@article{(Open Science Index):https://publications.waset.org/pdf/10007562,
	  title     = {De-noising Infrared Image Using OWA Based Filter},
	  author    = {Ruchika and  Munish Vashisht and  S. Qamar},
	  country	= {},
	  institution	= {},
	  abstract     = {Detection of small ship is crucial task in many automatic surveillance systems which are employed for security of maritime boundaries of a country. To address this problem, image de-noising is technique to identify the target ship in between many other ships in the sea. Image de-noising technique needs to extract the ship’s image from sea background for the analysis as the ship’s image may submerge in the background and flooding waves. In this paper, a noise filter is presented that is based on fuzzy linguistic ‘most’ quantifier. Ordered weighted averaging (OWA) function is used to remove salt-pepper noise of ship’s image. Results obtained are in line with the results available by other well-known median filters and OWA based approach shows better performance.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {11},
	  number    = {4},
	  year      = {2017},
	  pages     = {499 - 504},
	  ee        = {https://publications.waset.org/pdf/10007562},
	  url   	= {https://publications.waset.org/vol/124},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 124, 2017},
	}