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Landmark recognition by using fuzzy approach

The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...

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Main Authors: Mohd Saifizi, Saidon, Hazry, Desa, Assoc. Prof. Dr., Shafriza Nisha, Basah, Dr., Mohd Rudzuan, Mohd Nor
Other Authors: saifizi@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2013
Subjects:
Landmark
Recognition
Mobile Rbot
Image processing
Fuzzy logic
Hough transform
Canny detection
Pattern matching
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/30494
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spelling my.unimap-304942013-12-12T08:36:32Z Landmark recognition by using fuzzy approach Mohd Saifizi, Saidon Hazry, Desa, Assoc. Prof. Dr. Shafriza Nisha, Basah, Dr. Mohd Rudzuan, Mohd Nor saifizi@unimap.edu.my hazry@unimap.edu.my shafriza@unimap.edu.my rudzuan@unimap.edu.my Landmark Recognition Mobile Rbot Image processing Fuzzy logic Hough transform Canny detection Pattern matching The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. This paper describes the development of a vision system for mobile robot control using a combination of fuzzy logic and image processing techniques, enabling the robot to identify objects such as door, marking circle and recognize the target object. Landmark selected in this study is a door because the door is the common objects in indoor environments and the detection of a door allows a robot to do tasks such as navigation and path planning. This work presents an approach using computer vision which applied Hough Transform and Feature matching technique after the image has been proceeds by Canny edge detector. Features like circular marking, the distance between two vertical lines used by the fuzzy system to analyze whether it has relation with the door being analyzed to design an expert system to detect rectangular shaped door. In this study, vision system is applied to extract the information such as the distance of target and the orientation of target. 2013-12-12T08:36:32Z 2013-12-12T08:36:32Z 2012-06-18 Working Paper p. 633 - 640 978-967-5760-11-2 http://hdl.handle.net/123456789/30494 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP)
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 Landmark
Recognition
Mobile Rbot
Image processing
Fuzzy logic
Hough transform
Canny detection
Pattern matching
spellingShingle Landmark
Recognition
Mobile Rbot
Image processing
Fuzzy logic
Hough transform
Canny detection
Pattern matching
Mohd Saifizi, Saidon
Hazry, Desa, Assoc. Prof. Dr.
Shafriza Nisha, Basah, Dr.
Mohd Rudzuan, Mohd Nor
Landmark recognition by using fuzzy approach
description The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.
author2 saifizi@unimap.edu.my
author_facet saifizi@unimap.edu.my
Mohd Saifizi, Saidon
Hazry, Desa, Assoc. Prof. Dr.
Shafriza Nisha, Basah, Dr.
Mohd Rudzuan, Mohd Nor
format Working Paper
author Mohd Saifizi, Saidon
Hazry, Desa, Assoc. Prof. Dr.
Shafriza Nisha, Basah, Dr.
Mohd Rudzuan, Mohd Nor
author_sort Mohd Saifizi, Saidon
title Landmark recognition by using fuzzy approach
title_short Landmark recognition by using fuzzy approach
title_full Landmark recognition by using fuzzy approach
title_fullStr Landmark recognition by using fuzzy approach
title_full_unstemmed Landmark recognition by using fuzzy approach
title_sort landmark recognition by using fuzzy approach
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/30494
_version_ 1643795622054068224
score 13.222552

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