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Enhancement of background subtraction approach for image segmentation

In this paper an enhanced background subtraction approach for image segmentation is proposed in order to precisely detect and represent the objects in the images. It is based on automatic detection of the background by estimating the background and then subtracting it from the original image. This s...

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Main Authors:	A.S., Bin Samma, R.A., Salam, A.Z., Talib
Format:	Conference Paper
Language:	en_US
Published:	2015
Subjects:	Automatic detection Background subtraction Computational costs Segmentation results Information science Signal processing Image segmentation Signal detection Underwater image Original images Background subtraction techniques
Online Access:	http://ddms.usim.edu.my/handle/123456789/9190
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id	my.usim-9190
record_format	dspace
spelling	my.usim-91902017-03-02T08:10:42Z Enhancement of background subtraction approach for image segmentation A.S., Bin Samma R.A., Salam A.Z., Talib Automatic detection Background subtraction Computational costs Segmentation results Information science Signal processing Image segmentation Signal detection Underwater image Original images Background subtraction techniques In this paper an enhanced background subtraction approach for image segmentation is proposed in order to precisely detect and represent the objects in the images. It is based on automatic detection of the background by estimating the background and then subtracting it from the original image. This step is incorporated in the background subtraction approach in order to reduce the computational cost and overcome the problems where the environment is complex such as underwater images and when there are many kinds of objects. The segmentation results using this enhanced approach are compared with the recent background subtraction techniques in terms of speed and accuracy in order to show the efficiency and the effectiveness of the proposed approach. © 2010 IEEE. 2015-08-25T04:21:17Z 2015-08-25T04:21:17Z 2010 Conference Paper 9781-4244-7167-6 http://ddms.usim.edu.my/handle/123456789/9190 en_US
institution	Universiti Sains Islam Malaysia
building	USIM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universit Sains Islam i Malaysia
content_source	USIM Institutional Repository
url_provider	http://ddms.usim.edu.my/
language	en_US
topic	Automatic detection Background subtraction Computational costs Segmentation results Information science Signal processing Image segmentation Signal detection Underwater image Original images Background subtraction techniques
spellingShingle	Automatic detection Background subtraction Computational costs Segmentation results Information science Signal processing Image segmentation Signal detection Underwater image Original images Background subtraction techniques A.S., Bin Samma R.A., Salam A.Z., Talib Enhancement of background subtraction approach for image segmentation
description	In this paper an enhanced background subtraction approach for image segmentation is proposed in order to precisely detect and represent the objects in the images. It is based on automatic detection of the background by estimating the background and then subtracting it from the original image. This step is incorporated in the background subtraction approach in order to reduce the computational cost and overcome the problems where the environment is complex such as underwater images and when there are many kinds of objects. The segmentation results using this enhanced approach are compared with the recent background subtraction techniques in terms of speed and accuracy in order to show the efficiency and the effectiveness of the proposed approach. © 2010 IEEE.
format	Conference Paper
author	A.S., Bin Samma R.A., Salam A.Z., Talib
author_facet	A.S., Bin Samma R.A., Salam A.Z., Talib
author_sort	A.S., Bin Samma
title	Enhancement of background subtraction approach for image segmentation
title_short	Enhancement of background subtraction approach for image segmentation
title_full	Enhancement of background subtraction approach for image segmentation
title_fullStr	Enhancement of background subtraction approach for image segmentation
title_full_unstemmed	Enhancement of background subtraction approach for image segmentation
title_sort	enhancement of background subtraction approach for image segmentation
publishDate	2015
url	http://ddms.usim.edu.my/handle/123456789/9190
_version_	1645152559664463872
score	13.222552

Enhancement of background subtraction approach for image segmentation

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