Image Enhancement using Thermal-visible Fusion for Human Detection
An increased interest in detecting human beings in video surveillance system has emerged in recent years. Multisensory image fusion deserves more research attention due to the capability to improve the visual interpretability of an image. This study proposed fusion techniques for human detection ba...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing Ltd
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19856/ http://umpir.ump.edu.my/id/eprint/19856/1/Zaihidee_2017_J._Phys.%253A_Conf._Ser._890_012038.pdf |
| _version_ | 1848820972491112448 |
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| author | Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Mohd Zuki, Salleh |
| author_facet | Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Mohd Zuki, Salleh |
| author_sort | Ezrinda, Mohd Zaihidee |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | An increased interest in detecting human beings in video surveillance system has
emerged in recent years. Multisensory image fusion deserves more research attention due to the capability to improve the visual interpretability of an image. This study proposed fusion techniques for human detection based on multiscale transform using grayscale visual light and infrared images. The samples for this study were taken from online dataset. Both images captured by the two sensors were decomposed into high and low frequency coefficients using Stationary Wavelet Transform (SWT). Hence, the appropriate fusion rule was used to merge the coefficients and finally, the final fused image was obtained by using inverse SWT. From the qualitative and quantitative results, the proposed method is more superior than the two other methods in terms of enhancement of the target region and preservation of details
information of the image. |
| first_indexed | 2025-11-15T02:17:57Z |
| format | Conference or Workshop Item |
| id | ump-19856 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:17:57Z |
| publishDate | 2017 |
| publisher | IOP Publishing Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-198562018-06-29T01:11:16Z http://umpir.ump.edu.my/id/eprint/19856/ Image Enhancement using Thermal-visible Fusion for Human Detection Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Mohd Zuki, Salleh QA75 Electronic computers. Computer science An increased interest in detecting human beings in video surveillance system has emerged in recent years. Multisensory image fusion deserves more research attention due to the capability to improve the visual interpretability of an image. This study proposed fusion techniques for human detection based on multiscale transform using grayscale visual light and infrared images. The samples for this study were taken from online dataset. Both images captured by the two sensors were decomposed into high and low frequency coefficients using Stationary Wavelet Transform (SWT). Hence, the appropriate fusion rule was used to merge the coefficients and finally, the final fused image was obtained by using inverse SWT. From the qualitative and quantitative results, the proposed method is more superior than the two other methods in terms of enhancement of the target region and preservation of details information of the image. IOP Publishing Ltd 2017-09-21 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/19856/1/Zaihidee_2017_J._Phys.%253A_Conf._Ser._890_012038.pdf Ezrinda, Mohd Zaihidee and Kamarul Hawari, Ghazali and Mohd Zuki, Salleh (2017) Image Enhancement using Thermal-visible Fusion for Human Detection. In: Journal of Physics: Conference Series, 1st International Conference on Applied & Industrial Mathematics and Statistics 2017 (ICoAIMS 2017) , 8-10 August 2017 , Kuantan, Pahang, Malaysia. pp. 1-6., 890 (012038). ISBN 1742-6596 (Published) https://doi.org/10.1088/1742-6596/890/1/012038 https://doi.org/10.1088/1742-6596/890/1/012038 |
| spellingShingle | QA75 Electronic computers. Computer science Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Mohd Zuki, Salleh Image Enhancement using Thermal-visible Fusion for Human Detection |
| title | Image Enhancement using Thermal-visible Fusion for Human Detection |
| title_full | Image Enhancement using Thermal-visible Fusion for Human Detection |
| title_fullStr | Image Enhancement using Thermal-visible Fusion for Human Detection |
| title_full_unstemmed | Image Enhancement using Thermal-visible Fusion for Human Detection |
| title_short | Image Enhancement using Thermal-visible Fusion for Human Detection |
| title_sort | image enhancement using thermal-visible fusion for human detection |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/19856/ http://umpir.ump.edu.my/id/eprint/19856/ http://umpir.ump.edu.my/id/eprint/19856/ http://umpir.ump.edu.my/id/eprint/19856/1/Zaihidee_2017_J._Phys.%253A_Conf._Ser._890_012038.pdf |