Heshalini, Rajagopal and Norrima, Mokhtar and Anis Salwa, Mohd Khairuddin and Wan Khairunizam, Wan Ahmad and Zuwairie, Ibrahim and Asrul, Adam and Wan Amirul, Wan Mohd Mahiyidin (2021) Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images. In: Proceeding of the 2021 International Conference on Artificial Life and Robotics (ICAROB2021) , 21 - 24 January 2021 . pp. 736-741.. ISBN 978-4-9908350-6-4
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Abstract
Image Quality Assessment (IQA) is an imperative element in improving the effectiveness of an automatic wood recognition system. There is a need to develop a No-Reference-IQA (NR-IQA) system as a distortion free wood images are impossible to be acquired in the dusty environment in timber factories. Therefore, a Gray Level Co- Occurrence Matrix (GLCM) and Gabor features-based NR-IQA, GGNR-IQA algorithm is proposed to evaluate the quality of wood images. The proposed GGNR-IQA algorithm is compared with a well-known NR-IQA, Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) and Full-Reference-IQA (FR-IQA) algorithms, Structural Similarity Index (SSIM), Multiscale SSIM (MS-SSIM), Feature SIMilarity (FSIM), Information Weighted SSIM (IW-SSIM) and Gradient Magnitude Similarity Deviation (GMSD). Results shows that the GGNR-IQA algorithm outperforms the NR-IQA and FR-IQAs. The GGNR-IQA algorithm is beneficial in wood industry as a distortion free reference image is not required to pre-process wood images.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | Wood images, GLCM, Gabor, GGNR-IQA, NR-IQA |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | College of Engineering Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 11 Nov 2022 08:32 |
| Last Modified: | 11 Nov 2022 08:32 |
| URI: | http://umpir.ump.edu.my/id/eprint/34331 |
| Download Statistic: | View Download Statistics |
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