On intelligent image processing methodologies applied to navigation assistance for visually impaired

The main objective of this thesis is to develop a computer based Navigation Assistance for Visually Impaired (NAVI) as a vision substitutive system. The hardware of the system includes a Vision sensor mounted on a headgear, a set of Stereo earphones and a Single Board Processing System (SBPS) with...

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Main Author:	G.Sainarayanan
Format:	Thesis
Language:	English English
Published:	2002
Subjects:	TK8300-8360 Photoelectronic devices (General)
Online Access:	https://eprints.ums.edu.my/id/eprint/10206/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/10206/2/FULLTEXT.pdf
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id	my-ums-ep.10206
record_format	uketd_dc
spelling	my-ums-ep.102062024-05-17T05:51:52Z On intelligent image processing methodologies applied to navigation assistance for visually impaired 2002 G.Sainarayanan TK8300-8360 Photoelectronic devices (General) The main objective of this thesis is to develop a computer based Navigation Assistance for Visually Impaired (NAVI) as a vision substitutive system. The hardware of the system includes a Vision sensor mounted on a headgear, a set of Stereo earphones and a Single Board Processing System (SBPS) with batteries, duly placed in a vest. The Vision sensor is a digital video camera. The video camera captures the image of the environment. The captured image is processed, mapped on to specially structured stereo sound patterns and sent to the earphones. A set of image processing requirements for vision substitution is identified and incorporated in the NAVI system. The image processing, developed in this thesis, is designed to work as a model of the human vision system. To model the human vision system in image processing, two properties of human eye, namely lateral inhibition and domination of the object properties rather than background are incorporated. The image processing methodologies applied in NAVI are developed using artificial intelligent techniques. The property of lateral inhibition is incorporated using neural network based Canny edge filter. In vision substitutive system, definition of objects and background is not easy as compared to industrial object recognition system. Therefore, three methods for object enhancement and background suppression are proposed in NAVI using fuzzy logic and neural network. The edge image and the object enhanced image with background suppressed are integrated to produce a resultant image. The resultant image is sonified to produce stereo acoustic patterns. Blind volunteers were trained with the developed NAVI system and they were tested to identify the environment. They were able to understand the logic behind the sound in discriminating the object from background. It was also verified that the discrimination of objects by the blind through the proposed image processing methodologies is effective and easier than that of earlier efforts in this direction. 2002 Thesis https://eprints.ums.edu.my/id/eprint/10206/ https://eprints.ums.edu.my/id/eprint/10206/1/24%20PAGES.pdf text en public https://eprints.ums.edu.my/id/eprint/10206/2/FULLTEXT.pdf text en validuser dphil doctoral Universiti Malaysia Sabah Sekolah Kejuruteraan dan Teknologi Maklumat
institution	Universiti Malaysia Sabah
collection	UMS Institutional Repository
language	English English
topic	TK8300-8360 Photoelectronic devices (General)
spellingShingle	TK8300-8360 Photoelectronic devices (General) G.Sainarayanan On intelligent image processing methodologies applied to navigation assistance for visually impaired
description	The main objective of this thesis is to develop a computer based Navigation Assistance for Visually Impaired (NAVI) as a vision substitutive system. The hardware of the system includes a Vision sensor mounted on a headgear, a set of Stereo earphones and a Single Board Processing System (SBPS) with batteries, duly placed in a vest. The Vision sensor is a digital video camera. The video camera captures the image of the environment. The captured image is processed, mapped on to specially structured stereo sound patterns and sent to the earphones. A set of image processing requirements for vision substitution is identified and incorporated in the NAVI system. The image processing, developed in this thesis, is designed to work as a model of the human vision system. To model the human vision system in image processing, two properties of human eye, namely lateral inhibition and domination of the object properties rather than background are incorporated. The image processing methodologies applied in NAVI are developed using artificial intelligent techniques. The property of lateral inhibition is incorporated using neural network based Canny edge filter. In vision substitutive system, definition of objects and background is not easy as compared to industrial object recognition system. Therefore, three methods for object enhancement and background suppression are proposed in NAVI using fuzzy logic and neural network. The edge image and the object enhanced image with background suppressed are integrated to produce a resultant image. The resultant image is sonified to produce stereo acoustic patterns. Blind volunteers were trained with the developed NAVI system and they were tested to identify the environment. They were able to understand the logic behind the sound in discriminating the object from background. It was also verified that the discrimination of objects by the blind through the proposed image processing methodologies is effective and easier than that of earlier efforts in this direction.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	G.Sainarayanan
author_facet	G.Sainarayanan
author_sort	G.Sainarayanan
title	On intelligent image processing methodologies applied to navigation assistance for visually impaired
title_short	On intelligent image processing methodologies applied to navigation assistance for visually impaired
title_full	On intelligent image processing methodologies applied to navigation assistance for visually impaired
title_fullStr	On intelligent image processing methodologies applied to navigation assistance for visually impaired
title_full_unstemmed	On intelligent image processing methodologies applied to navigation assistance for visually impaired
title_sort	on intelligent image processing methodologies applied to navigation assistance for visually impaired
granting_institution	Universiti Malaysia Sabah
granting_department	Sekolah Kejuruteraan dan Teknologi Maklumat
publishDate	2002
url	https://eprints.ums.edu.my/id/eprint/10206/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/10206/2/FULLTEXT.pdf
_version_	1804890311531429888

On intelligent image processing methodologies applied to navigation assistance for visually impaired

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