IIUM Repository (IREP)

Assessment of mould growth on building materials using spatial and frequency domain analysis techniques

Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin and Ali, Maisarah and Bamgbopa, Ibrahim A. (2009) Assessment of mould growth on building materials using spatial and frequency domain analysis techniques. International Journal of Computer Science and Network Security (IJCSNS), 9 (7). pp. 154-167. ISSN 1738-7906

This is the latest version of this item.

[img] PDF (Assessment of Mould Growth on Building Materials using)
Restricted to Repository staff only

Download (657kB) | Request a copy

Abstract

The phenomenon of Sick Building Syndrome (SBS), Building Related Illness (BRI) and some other indoor related diseases have been attributed to mould and fungi exposure in the indoor environment. Despite the growing concern over mould and fungi infestations on building materials, little has been reported in the literature on the development of an objective tool and criteria for measuring and characterizing the shape and the level of severity of such parasitic phenomenon. In this paper, an objective based approach of mould and fungi growth assessment using spatial and frequency domain information is proposed. The spatial domain analysis of the acquired Mould Infested Images (MII) is achieved using Ratio Test (RT), Compactness Test (CT) and Visual Test (VT) while the frequency domain analysis uses the popular Discrete Fourier Transform (DFT) implemented in the form of Fast Fourier Transform (FFT) in analyzing the boundary pixel sequence. The resulting frequency components (Fourier Descriptors (FD)) can now be analyzed or stored for reconstruction purposes. Application of structural similarity measures on the reconstructed MII in spatial domain shows that the use of relative low number of FD is sufficient for analyzing, characterizing and reconstruction of the original spatial domain boundary pixels.

Item Type: Article (Journal)
Additional Information: 6472/1829
Uncontrolled Keywords: Building Related Illness (BRI), Digital Image Processing, Mould, Sick Building Syndrome (SBS), Discrete Fourier Transform (DFT)
Subjects: T Technology > TH Building construction > TH9025 Protection of buildings. Including protection from dampness, fire, burglary
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Architecture and Environmental Design > Department of Building Technology & Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof Momoh-Jimoh Salami
Date Deposited: 09 Sep 2011 19:25
Last Modified: 16 Nov 2011 15:24
URI: http://irep.iium.edu.my/id/eprint/1829

Available Versions of this Item

  • Assessment of mould growth on building materials using spatial and frequency domain analysis techniques. (deposited 09 Sep 2011 19:25) [Currently Displayed]

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year