An active contour segmentation using the perspective box concept for figure-ground object detection

Image segmentation has been widely employed as a vital pre-processing phase in content-based image retrieval system, object tracking system, camera surveillance system, etc. Image segmentation procedure helps visual system to detect and to recognise main objects in a digital image scene. The active...

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Main Author:	Ismail, Muhammad Khairi
Format:	Thesis
Language:	English
Published:	2012
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/29840/5/MuhammadKhairiIsmailMFSKSM2012.pdf
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id	my-utm-ep.29840
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spelling	my-utm-ep.298402018-05-27T06:54:58Z An active contour segmentation using the perspective box concept for figure-ground object detection 2012-01 Ismail, Muhammad Khairi QA75 Electronic computers. Computer science Image segmentation has been widely employed as a vital pre-processing phase in content-based image retrieval system, object tracking system, camera surveillance system, etc. Image segmentation procedure helps visual system to detect and to recognise main objects in a digital image scene. The active contour approach is a common technique used in the initial processes to detect objects. According to previous researches, the active contour approach used in region-based segmentation procedures had shown impressive results in segmenting an image scene into different object categories. However, when dealing with a complex image scene, the active contour approach was unable to segment the figure-ground and background of the given objects. Therefore, this thesis proposes an alternative method in image segmentation based on the perspective box concept, to detect main objects. The proposed concept introduces vanishing points to model an image scene based on the visual attention concept. The vanishing points are used to identify the relevant image information or attention points in the scene by using a Hough transform. Once the points of attention in the objects have been identified, the region of interest will be minimised in the active contour segmentation process. Then, the statistical region merging algorithm is used to construct multiple layers of the image object in order to produce the bounding box coordinate in XML codes. For benchmarking purposes, the codes were compared with PASCAL Visual Object Classes Challenge 2010 (VOC 2010) dataset by using three performance parameters namely precision, recall and F-measure. The results have shown that the average detection rate is more than 50%. Therefore, the proposed approach outperforms the active contour segmentation technique. In addition, procedures of the perspective box concept can be carried out automatically without any manual intervention or reliance on intelligent systems. 2012-01 Thesis http://eprints.utm.my/id/eprint/29840/ http://eprints.utm.my/id/eprint/29840/5/MuhammadKhairiIsmailMFSKSM2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems Faculty of Computer Science and Information Systems
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Ismail, Muhammad Khairi An active contour segmentation using the perspective box concept for figure-ground object detection
description	Image segmentation has been widely employed as a vital pre-processing phase in content-based image retrieval system, object tracking system, camera surveillance system, etc. Image segmentation procedure helps visual system to detect and to recognise main objects in a digital image scene. The active contour approach is a common technique used in the initial processes to detect objects. According to previous researches, the active contour approach used in region-based segmentation procedures had shown impressive results in segmenting an image scene into different object categories. However, when dealing with a complex image scene, the active contour approach was unable to segment the figure-ground and background of the given objects. Therefore, this thesis proposes an alternative method in image segmentation based on the perspective box concept, to detect main objects. The proposed concept introduces vanishing points to model an image scene based on the visual attention concept. The vanishing points are used to identify the relevant image information or attention points in the scene by using a Hough transform. Once the points of attention in the objects have been identified, the region of interest will be minimised in the active contour segmentation process. Then, the statistical region merging algorithm is used to construct multiple layers of the image object in order to produce the bounding box coordinate in XML codes. For benchmarking purposes, the codes were compared with PASCAL Visual Object Classes Challenge 2010 (VOC 2010) dataset by using three performance parameters namely precision, recall and F-measure. The results have shown that the average detection rate is more than 50%. Therefore, the proposed approach outperforms the active contour segmentation technique. In addition, procedures of the perspective box concept can be carried out automatically without any manual intervention or reliance on intelligent systems.
format	Thesis
qualification_level	Master's degree
author	Ismail, Muhammad Khairi
author_facet	Ismail, Muhammad Khairi
author_sort	Ismail, Muhammad Khairi
title	An active contour segmentation using the perspective box concept for figure-ground object detection
title_short	An active contour segmentation using the perspective box concept for figure-ground object detection
title_full	An active contour segmentation using the perspective box concept for figure-ground object detection
title_fullStr	An active contour segmentation using the perspective box concept for figure-ground object detection
title_full_unstemmed	An active contour segmentation using the perspective box concept for figure-ground object detection
title_sort	active contour segmentation using the perspective box concept for figure-ground object detection
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems
granting_department	Faculty of Computer Science and Information Systems
publishDate	2012
url	http://eprints.utm.my/id/eprint/29840/5/MuhammadKhairiIsmailMFSKSM2012.pdf
_version_	1747815704857411584

An active contour segmentation using the perspective box concept for figure-ground object detection

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