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..
Full text not available from this repository. (Request a copy)Abstract
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.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Uncontrolled Keywords: | Thermal image, segmentation, feature matching, electrical installations, region of interest, qualitative evaluation. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 26 May 2015 03:05 |
| Last Modified: | 21 Feb 2018 05:09 |
| URI: | http://umpir.ump.edu.my/id/eprint/9223 |
| Download Statistic: | View Download Statistics |
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