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dc.contributor.authorWan Azani, Mustafa-
dc.contributor.authorHaniza, Yazid-
dc.date.accessioned2019-12-03T04:11:55Z-
dc.date.available2019-12-03T04:11:55Z-
dc.date.issued2016-
dc.identifier.citationJournal of Telecommunication, Electronic and Computer Engineering, vol.8(1), 2016, 67-73en_US
dc.identifier.issn2180–1843-
dc.identifier.issn2289-8131 (online)-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/63562-
dc.descriptionLink to publisher's homepage at http://journal.utem.edu.myen_US
dc.description.abstractIllumination normalization and contrast variation on images areone of themost challenging tasks in the imageprocessing field. Normally, the degrade contrast imagesarecaused by pose, occlusion, illumination,and luminosity. In this paper, a new contrast and luminosity correction technique is developed based on bilateral filtering and superimpose techniques. Background pixels was used in order to estimate the normalized background using their local mean and standard deviation. An experiment has been conducted on few badly illuminated images and document images which involve illumination and contrast problem. The resultswereevaluated based on Signal Noise Ratio (SNR) and Misclassification Error (ME). The performance of the proposed method based on SNR and ME wasvery encouraging. The results also show that the proposed methodis more effective in normalizing the illumination and contrastcomparedtoother illumination techniques such as homomorphic filtering, high pass filter and double mean filtering (DMV).en_US
dc.language.isoenen_US
dc.publisherUniversiti Teknikal Malaysia Melakaen_US
dc.subjectStandard deviationen_US
dc.subjectIlluminationen_US
dc.subjectGaussian filteringen_US
dc.subjectContrasten_US
dc.subjectMean filteringen_US
dc.titleIllumination and contrast correction strategy using bilateral filtering and binarization comparisonen_US
dc.typeArticleen_US
dc.identifier.urlhttp://journal.utem.edu.my/index.php/jtec/article/viewFile/682/502-
dc.contributor.urlazani.mustafa@gmail.comen_US
Appears in Collections:Haniza Yazid, Dr.
School of Mechatronic Engineering (Articles)

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