Detecting ROIs in the Thermal Image of Electrical Installations
This paper presents a method of detecting and segmenting regions of interest (ROIs) of the thermal image of electrical installations. These regions are very important in diagnosing the thermal condition of electrical equipment. Due to the nature of thermal imaging, segmentation with the conventional...
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| Format: | Conference or Workshop Item |
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2014
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| author | M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib |
| author_facet | M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib |
| author_sort | M. S., Jadin |
| collection | UMP |
| description | This paper presents a method of detecting and segmenting regions of interest (ROIs) of the thermal image of electrical installations. These regions are very important in diagnosing the thermal condition of electrical equipment. Due to the nature of thermal imaging, segmentation with the conventional approach will make inaccurate ROI detection, especially when qualitative approach is considered in evaluating the equipment's condition. Therefore, we take the advantage of extracting local features to identify, locate, and match multiple repeated objects and grouping a look-like similar objects in the images. Experimental results show that the proposed method achieves better performance for detecting the target ROIs with various irregular intensity variations, dim target equipments and cluttered background. The performance of the proposed method is qualitatively and quantitatively evaluated. |
| first_indexed | 2024-03-06T11:53:38Z |
| format | Conference or Workshop Item |
| id | UMPir9223 |
| institution | Universiti Malaysia Pahang |
| last_indexed | 2024-03-06T11:53:38Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | UMPir92232018-02-21T05:09:18Z http://umpir.ump.edu.my/id/eprint/9223/ Detecting ROIs in the Thermal Image of Electrical Installations M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib TK Electrical engineering. Electronics Nuclear engineering This paper presents a method of detecting and segmenting regions of interest (ROIs) of the thermal image of electrical installations. These regions are very important in diagnosing the thermal condition of electrical equipment. Due to the nature of thermal imaging, segmentation with the conventional approach will make inaccurate ROI detection, especially when qualitative approach is considered in evaluating the equipment's condition. Therefore, we take the advantage of extracting local features to identify, locate, and match multiple repeated objects and grouping a look-like similar objects in the images. Experimental results show that the proposed method achieves better performance for detecting the target ROIs with various irregular intensity variations, dim target equipments and cluttered background. The performance of the proposed method is qualitatively and quantitatively evaluated. 2014 Conference or Workshop Item PeerReviewed M. S., Jadin and Kamarul Hawari, Ghazali and Soib, Taib (2014) Detecting ROIs in the Thermal Image of Electrical Installations. In: International Conference on Control System, Computing and Engineering (ICCSCE) , 28-30 November 2014 , Batu Ferringhi, Penang. pp. 496-501.. (Published) http://dx.doi.org/10.1109/ICCSCE.2014.7072769 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib Detecting ROIs in the Thermal Image of Electrical Installations |
| title | Detecting ROIs in the Thermal Image of Electrical Installations |
| title_full | Detecting ROIs in the Thermal Image of Electrical Installations |
| title_fullStr | Detecting ROIs in the Thermal Image of Electrical Installations |
| title_full_unstemmed | Detecting ROIs in the Thermal Image of Electrical Installations |
| title_short | Detecting ROIs in the Thermal Image of Electrical Installations |
| title_sort | detecting rois in the thermal image of electrical installations |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT msjadin detectingroisinthethermalimageofelectricalinstallations AT kamarulhawarighazali detectingroisinthethermalimageofelectricalinstallations AT soibtaib detectingroisinthethermalimageofelectricalinstallations |