Cover Image

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...

Full description

Saved in:
Bibliographic Details
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
http://eprints.utm.my/id/eprint/29840/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.29840
record_format eprints
spelling my.utm.298402018-05-27T06:54:58Z http://eprints.utm.my/id/eprint/29840/ An active contour segmentation using the perspective box concept for figure-ground object detection 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/29840/5/MuhammadKhairiIsmailMFSKSM2012.pdf Ismail, Muhammad Khairi (2012) An active contour segmentation using the perspective box concept for figure-ground object detection. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2012
url http://eprints.utm.my/id/eprint/29840/5/MuhammadKhairiIsmailMFSKSM2012.pdf
http://eprints.utm.my/id/eprint/29840/
_version_ 1643648385699282944
score 13.223943

Similar Items