A new tool for assessment of mould growth on building materials
Mould growth in indoor environments; has been of concern in the built environments, particularly in the hospital, library and residential environment. The phenomenon of Sick Building Syndrome (SBS) and Building Related Illness (BRI) have also been attributed to mould exposure in the indoor environme...
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Online Access: | http://irep.iium.edu.my/4050/ http://irep.iium.edu.my/4050/ http://irep.iium.edu.my/4050/1/A_NEW_TOOL_FOR_ASSESSMENT_OF_MOULD_GROWTH_ON_BUILDING_MATERIALS.pdf |
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iium-40502011-12-01T04:27:26Z http://irep.iium.edu.my/4050/ A new tool for assessment of mould growth on building materials Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin Bamgbopa, Ibrahim A. Ali, Maisarah Jahn Kassim, Puteri Shireen T173.2 Technological change TH4021 Buildings. Construction with reference to use. Mould growth in indoor environments; has been of concern in the built environments, particularly in the hospital, library and residential environment. The phenomenon of Sick Building Syndrome (SBS) and Building Related Illness (BRI) have also been attributed to mould exposure in the indoor environment. Despite the growing concern over mould infestation on building materials and its presence even in hospital and library environment, little have been reported on the development of an objective mould assessment tool and criteria for measuring the level of severity of such unwanted phenomenon. A new three stage mould growth assessment tool on building materials is proposed in this paper. The acquired images undergo preliminary processing stage for color space conversion, noise filtering, illumination equalization and clustering into two distinct classes. The Mould Infestation Analysis and classification distinguish between candidate mould growth and other anatomical information in the acquired image by the use of image intensity, shape, size and ratio of axes. The Mould Grading stage uses the result of Ratio Test (RT), Compactness Test (CT ) and Visual Test (VT) in calculating the Damaged Index on such building material. Results obtained from application of this technique on acquired digital images indicates the appropriateness of this technique in enhancing the visual assessment and providing a concise and precise grading value for mould infested building materials. 2009-01-20 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/4050/1/A_NEW_TOOL_FOR_ASSESSMENT_OF_MOULD_GROWTH_ON_BUILDING_MATERIALS.pdf Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin and Bamgbopa, Ibrahim A. and Ali, Maisarah and Jahn Kassim, Puteri Shireen (2009) A new tool for assessment of mould growth on building materials. In: 3rd International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO 2009), 20-22 January 2009, American University of Sharjah, Sharjah, UAE. http://icmsao.trackchair.com/ |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
T173.2 Technological change TH4021 Buildings. Construction with reference to use. |
spellingShingle |
T173.2 Technological change TH4021 Buildings. Construction with reference to use. Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin Bamgbopa, Ibrahim A. Ali, Maisarah Jahn Kassim, Puteri Shireen A new tool for assessment of mould growth on building materials |
description |
Mould growth in indoor environments; has been of concern in the built environments, particularly in the hospital, library and residential environment. The phenomenon of Sick Building Syndrome (SBS) and Building Related Illness (BRI) have also been attributed to mould exposure in the indoor environment. Despite the growing concern over mould infestation on building materials and its presence even in hospital and library environment, little have been reported on the development of an objective mould assessment tool
and criteria for measuring the level of severity of such unwanted phenomenon.
A new three stage mould growth assessment tool on building
materials is proposed in this paper. The acquired images undergo preliminary processing stage for color space conversion, noise filtering, illumination equalization and clustering into two distinct classes. The Mould Infestation Analysis and classification distinguish between candidate mould growth and other anatomical information in the acquired image by the use of image intensity, shape,
size and ratio of axes. The Mould Grading stage uses the result of Ratio Test (RT), Compactness Test (CT ) and Visual Test (VT) in calculating the Damaged Index on such building material. Results obtained from application of this technique on acquired digital images indicates the appropriateness of this technique in enhancing
the visual assessment and providing a concise and precise grading value for mould infested building materials. |
format |
Conference or Workshop Item |
author |
Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin Bamgbopa, Ibrahim A. Ali, Maisarah Jahn Kassim, Puteri Shireen |
author_facet |
Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin Bamgbopa, Ibrahim A. Ali, Maisarah Jahn Kassim, Puteri Shireen |
author_sort |
Aibinu, Abiodun Musa |
title |
A new tool for assessment of mould growth on building materials |
title_short |
A new tool for assessment of mould growth on building materials |
title_full |
A new tool for assessment of mould growth on building materials |
title_fullStr |
A new tool for assessment of mould growth on building materials |
title_full_unstemmed |
A new tool for assessment of mould growth on building materials |
title_sort |
new tool for assessment of mould growth on building materials |
publishDate |
2009 |
url |
http://irep.iium.edu.my/4050/ http://irep.iium.edu.my/4050/ http://irep.iium.edu.my/4050/1/A_NEW_TOOL_FOR_ASSESSMENT_OF_MOULD_GROWTH_ON_BUILDING_MATERIALS.pdf |
first_indexed |
2023-09-18T20:12:07Z |
last_indexed |
2023-09-18T20:12:07Z |
_version_ |
1777407546803355648 |