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Background correction using average filtering and gradient based thresholding

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Main Authors: Wan Azani, Mustafa, Haniza, Yazid
Format: Article
Language:English
Published: Universiti Teknikal Malaysia Melaka 2019
Subjects:
Normalization
Illumination
Non-uniform
Segmentation
Average filtering
Binarization
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63565
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spelling my.unimap-635652019-12-03T04:40:17Z Background correction using average filtering and gradient based thresholding Wan Azani, Mustafa Haniza, Yazid Normalization Illumination Non-uniform Segmentation Average filtering Binarization Link to publisher's homepage at http://journal.utem.edu.my Segmentation 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. 2019-12-03T04:40:17Z 2019-12-03T04:40:17Z 2016 Article Journal of Telecommunication, Electronic and Computer Engineering, vol.8(5), 2016, 81-88 2180–1843 2289-8131 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63565 http://journal.utem.edu.my/index.php/jtec/article/view/824 en Universiti Teknikal Malaysia Melaka
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Normalization
Illumination
Non-uniform
Segmentation
Average filtering
Binarization
spellingShingle Normalization
Illumination
Non-uniform
Segmentation
Average filtering
Binarization
Wan Azani, Mustafa
Haniza, Yazid
Background correction using average filtering and gradient based thresholding
description Link to publisher's homepage at http://journal.utem.edu.my
format Article
author Wan Azani, Mustafa
Haniza, Yazid
author_facet Wan Azani, Mustafa
Haniza, Yazid
author_sort Wan Azani, Mustafa
title Background correction using average filtering and gradient based thresholding
title_short Background correction using average filtering and gradient based thresholding
title_full Background correction using average filtering and gradient based thresholding
title_fullStr Background correction using average filtering and gradient based thresholding
title_full_unstemmed Background correction using average filtering and gradient based thresholding
title_sort background correction using average filtering and gradient based thresholding
publisher Universiti Teknikal Malaysia Melaka
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63565
_version_ 1654961443452223488
score 13.222552

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