Detection of indoor air pollution on wet or moist walls using thermal image processing technique
This paper presents a development of an automatic system that's able to detect indoor air thermal pollution automatically by using thermal image processing technique. This research was proposed to enable civilians to improve the quality of indoor air to ensure the build...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Asian Research Publishing Network (ARPN)
2015
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/30688/1/Detectionofindoorairpollutiononwetormoistwallsusingthermalimageprocessingtechnique%281%29.pdf http://umpir.ump.edu.my/id/eprint/30688/7/Detectionofindoorairpollutiononwetormoistwallsusingthermalimageprocessingtechnique%281%29.pdf |
| _version_ | 1796994482247303168 |
|---|---|
| author | Norliana, Khamisan Kamarul Hawari, Ghazali W. L., Ching |
| author_facet | Norliana, Khamisan Kamarul Hawari, Ghazali W. L., Ching |
| author_sort | Norliana, Khamisan |
| collection | UMP |
| description | This paper presents a development of an automatic system that's able to detect indoor air thermal pollution automatically by using thermal image processing technique. This research was proposed to enable civilians to improve the quality of indoor air to ensure the building is well-ventilated and getting rid of air pollutants. Indoor air is more dangerous than outdoor air as civilians spend most of the time in indoor. 255 images are used in this simulation process whereby the images are divided into two categories. The first category has been classified consists of 178 images with the colour changes (pollution detected) while another 77 images showed with no colour changes (no pollution detected). Colour conversion, image enhancement and morphological operation were used in this research in order to process the desired output image. The accuracy of the system was measured for the detection of wet or moist wall that will affect the indoor air quality on polluted data shows 94.94%. While 100% accuracy was achieved for no wet or moist walls detected. The experiment results indicate that this proposed method able to detect indoor air thermal pollution on the differences of moisture area and the wet areas. |
| first_indexed | 2024-03-06T12:48:21Z |
| format | Article |
| id | UMPir30688 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:48:21Z |
| publishDate | 2015 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | dspace |
| spelling | UMPir306882021-02-13T14:25:21Z http://umpir.ump.edu.my/id/eprint/30688/ Detection of indoor air pollution on wet or moist walls using thermal image processing technique Norliana, Khamisan Kamarul Hawari, Ghazali W. L., Ching TK Electrical engineering. Electronics Nuclear engineering This paper presents a development of an automatic system that's able to detect indoor air thermal pollution automatically by using thermal image processing technique. This research was proposed to enable civilians to improve the quality of indoor air to ensure the building is well-ventilated and getting rid of air pollutants. Indoor air is more dangerous than outdoor air as civilians spend most of the time in indoor. 255 images are used in this simulation process whereby the images are divided into two categories. The first category has been classified consists of 178 images with the colour changes (pollution detected) while another 77 images showed with no colour changes (no pollution detected). Colour conversion, image enhancement and morphological operation were used in this research in order to process the desired output image. The accuracy of the system was measured for the detection of wet or moist wall that will affect the indoor air quality on polluted data shows 94.94%. While 100% accuracy was achieved for no wet or moist walls detected. The experiment results indicate that this proposed method able to detect indoor air thermal pollution on the differences of moisture area and the wet areas. Asian Research Publishing Network (ARPN) 2015-02 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/30688/1/Detectionofindoorairpollutiononwetormoistwallsusingthermalimageprocessingtechnique%281%29.pdf pdf en http://umpir.ump.edu.my/id/eprint/30688/7/Detectionofindoorairpollutiononwetormoistwallsusingthermalimageprocessingtechnique%281%29.pdf Norliana, Khamisan and Kamarul Hawari, Ghazali and W. L., Ching (2015) Detection of indoor air pollution on wet or moist walls using thermal image processing technique. ARPN Journal of Engineering and Applied Sciences, 10 (3). pp. 1154-1160. ISSN 1819-6608. (Published) http://www.arpnjournals.com |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Norliana, Khamisan Kamarul Hawari, Ghazali W. L., Ching Detection of indoor air pollution on wet or moist walls using thermal image processing technique |
| title | Detection of indoor air pollution on wet or moist walls using thermal image processing technique |
| title_full | Detection of indoor air pollution on wet or moist walls using thermal image processing technique |
| title_fullStr | Detection of indoor air pollution on wet or moist walls using thermal image processing technique |
| title_full_unstemmed | Detection of indoor air pollution on wet or moist walls using thermal image processing technique |
| title_short | Detection of indoor air pollution on wet or moist walls using thermal image processing technique |
| title_sort | detection of indoor air pollution on wet or moist walls using thermal image processing technique |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/30688/1/Detectionofindoorairpollutiononwetormoistwallsusingthermalimageprocessingtechnique%281%29.pdf http://umpir.ump.edu.my/id/eprint/30688/7/Detectionofindoorairpollutiononwetormoistwallsusingthermalimageprocessingtechnique%281%29.pdf |
| work_keys_str_mv | AT norlianakhamisan detectionofindoorairpollutiononwetormoistwallsusingthermalimageprocessingtechnique AT kamarulhawarighazali detectionofindoorairpollutiononwetormoistwallsusingthermalimageprocessingtechnique AT wlching detectionofindoorairpollutiononwetormoistwallsusingthermalimageprocessingtechnique |