Comparative study of thresholding techniques for thermographic diagnosis of electrical equipment
| bracu.type.group | Research Publications | |
| datacite.rights | Metadata Only | |
| dc.contributor.author | Abir, Asaduzzaman | |
| dc.contributor.author | Islam Joy, Md. Rifat | |
| dc.contributor.author | Fuad, Mobtasim | |
| dc.contributor.author | Nazmul Huda, A.S. | |
| dc.contributor.author | Islam, Mohaimenul | |
| dc.contributor.department | Department of Electrical and Electronic Engineering | |
| dc.date.accessioned | 2026-08-15T11:44:26Z | |
| dc.date.available | 2026-08-15T11:44:26Z | |
| dc.date.issued | 2021-01-01 | |
| dc.description.abstract | This article aims to analyze the performance of different thresholding techniques to detect the hotspot of electrical equipment through Infrared thermography (IRT). Finding a suitable thresholding technique for thermal images is essential for automatic thermal condition monitoring of electrical equipment. In this paper, five different thresholding techniques (i.e., Maximum Entropy/Kapur, Minimum Error, Moments, Renyi Entropy, and Yen Thresholding) have been applied to twelve different samples of thermal images of electrical equipment to measure the overall performance. Thermal Images of electrical equipment are taken using an infrared camera from a ready-made garment factory situated in Dhaka, Bangladesh. The results show that the Moments thresholding technique has the lowest error percentage, whereas the Minimum Error thresholding technique shows the lowest accuracy. | |
| dc.description.version | Published | |
| dc.format.extent | 5 pages | |
| dc.identifier.citation | A. Abir, M. R. Islam Joy, M. Fuad, A. S. Nazmul Huda and M. Islam, "Comparative Study of Thresholding Techniques for Thermographic Diagnosis of Electrical Equipment," 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), Bangalore, India, 2021, pp. 01-05, doi: 10.1109/R10-HTC53172.2021.9641557. | |
| dc.identifier.doi | 10.1109/R10-HTC53172.2021.9641557 | |
| dc.identifier.isbn | 9781665432405 | |
| dc.identifier.issn | 25727621 | |
| dc.identifier.other | 2-s2.0-85123872116 | |
| dc.identifier.uri | https://hdl.handle.net/10361/29076 | |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.hasversion | 10.1109/R10-HTC53172.2021.9641557 | |
| dc.relation.ispartof | IEEE Region 10 Humanitarian Technology Conference R10 Htc | |
| dc.relation.ispartofseries | IEEE Region 10 Humanitarian Technology Conference R10 Htc | |
| dc.relation.uri | https://ieeexplore.ieee.org/document/9641557 | |
| dc.rights | false | |
| dc.subject | Condition monitoring | |
| dc.subject | Hotspot | |
| dc.subject | Thermal imaging | |
| dc.subject | Thresholding | |
| dc.subject.lcsh | Threshold logic. | |
| dc.subject.lcsh | Imaging systems. | |
| dc.subject.lcsh | Thermography. | |
| dc.title | Comparative study of thresholding techniques for thermographic diagnosis of electrical equipment | |
| dc.type | Conference Proceeding | |
| oaire.citation.volume | 2021-September | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.identifier.scopus-author-id | 57435158600 | |
| person.identifier.scopus-author-id | 57434879300 | |
| person.identifier.scopus-author-id | 57435158700 | |
| person.identifier.scopus-author-id | 55838920700 | |
| person.identifier.scopus-author-id | 57207284164 |