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dc.contributor.authorWan Azani, Mustafa
dc.contributor.authorHaniza, Yazid
dc.date.accessioned2019-12-03T04:40:17Z
dc.date.available2019-12-03T04:40:17Z
dc.date.issued2016
dc.identifier.citationJournal of Telecommunication, Electronic and Computer Engineering, vol.8(5), 2016, 81-88en_US
dc.identifier.issn2180–1843
dc.identifier.issn2289-8131 (online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/63565
dc.descriptionLink to publisher's homepage at http://journal.utem.edu.myen_US
dc.description.abstractSegmentation process on the image with illumination and contrast variation problem is a very challenging task. This problem can reduce the effectiveness of segmentation result. Therefore, the implementation of the proposed method based on the background correction is able to improve the image quality and automatically increases the segmentation. The proposed method used in this study is based on mean filtering and Otsu thresholding techniques to enhance the non-uniform image for better segmentation. The proposed method used the mean value of the image to normalize the background image. Then, the resulting image from the previous step underwent the segmentation process using Gradient Based Adaptive thresholding. Finally, a comparison in term of misclassification error (ME) was calculated and compared with the six other methods. For the ‘rectangles’ image, our method with gradient achieved 0.050478 and it is better compared to the other six methods. However, the ME value of the ‘text’ image produced by our method is 0.058722, slightly higher than the Niblack’s method, Chen’s method and gradient based method. Therefore, it still acceptable in comparison to those methods by Yanowitz and Bruckstein’s (YB) method, Blayvas’s method, and Chan’s method. The proposed method is better method to enhance and improved the image quality. The main impact of this study is to eliminate the illumination and normalize the contrast variation. In conclusions, the implementation of the proposed method produces an effective and efficient results for background correction and increases the segmentation result.en_US
dc.language.isoenen_US
dc.publisherUniversiti Teknikal Malaysia Melakaen_US
dc.subjectNormalizationen_US
dc.subjectIlluminationen_US
dc.subjectNon-uniformen_US
dc.subjectSegmentationen_US
dc.subjectAverage filteringen_US
dc.subjectBinarizationen_US
dc.titleBackground correction using average filtering and gradient based thresholdingen_US
dc.typeArticleen_US
dc.identifier.urlhttp://journal.utem.edu.my/index.php/jtec/article/view/824


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