Using fuzzy logic to implement a selective median filter to clean noisy images

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dc.contributor.author Li, Hui en_US
dc.date.accessioned 2011-06-03T19:33:51Z
dc.date.available 2011-06-03T19:33:51Z
dc.date.created 2001 en_US
dc.date.issued 2001
dc.identifier LD2489.Z9 2001 .L54 en_US
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/handle/182989
dc.description.abstract This paper presents a new fuzzy-logic-control based filter with the properties of removing noise from the noisy images. To reach the above goal, it employs the concepts of fuzzy logic to design a filter to perform the task mentioned above. Before designing the filter program is written by using Visual C++ MFC for loading images and producing test noisy images. This filter is mainly based on the idea that it is not necessary to deal with every pixel using median filter. It uses fuzzy-logic method to "guess" which pixel is noised, then use median filter to change its pixel value. This filter works well for cleaning noisy images. en_US
dc.description.sponsorship Department of Physics and Astronomy
dc.format.extent ii, 32, 34 leaves : ill., ports. ; 28 cm. en_US
dc.source Virtual Press en_US
dc.title Using fuzzy logic to implement a selective median filter to clean noisy images en_US
dc.type Research paper (M.A.), 3 hrs. en_US
dc.description.degree Thesis (M.A.) en_US
dc.identifier.cardcat-url http://liblink.bsu.edu/catkey/1213712 en_US


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  • Research Papers [5036]
    Research papers submitted to the Graduate School by Ball State University master's degree candidates in partial fulfillment of degree requirements.

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