Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images
In image processing, one of the most fundamental technique is edge detection. It is a process to detect edges from images by identifying discontinuities in brightness. In this research, we present an enhanced Canny edge detection technique. This method integrates local morphological contrast enhance...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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2020
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| Online Access: | https://eprints.ums.edu.my/id/eprint/28929/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/28929/2/ABSTRACT.pdf |
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| author | S K T Hwa Abdullah Bade Mohd. Hanafi Ahmad Hijazi |
| author_facet | S K T Hwa Abdullah Bade Mohd. Hanafi Ahmad Hijazi |
| author_sort | S K T Hwa |
| collection | UMS |
| description | In image processing, one of the most fundamental technique is edge detection. It is a process to detect edges from images by identifying discontinuities in brightness. In this research, we present an enhanced Canny edge detection technique. This method integrates local morphological contrast enhancement and Canny edge detection. Furthermore, the proposed edge detection technique was also applied for pneumonia and COVID-19 detection in digital x-ray images by utilising convolutional neural networks. Results show that this enhanced Canny edge detection technique is better than the traditional Canny technique. Also, we were able to produce classifiers that can classify edge x-ray images into COVID-19, normal, and pneumonia classes with high accuracy, sensitivity, and specificity. |
| first_indexed | 2024-03-06T03:08:15Z |
| format | Conference or Workshop Item |
| id | ums.eprints-28929 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:08:15Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ums.eprints-289292022-10-20T01:37:08Z https://eprints.ums.edu.my/id/eprint/28929/ Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images S K T Hwa Abdullah Bade Mohd. Hanafi Ahmad Hijazi TA1501-1820 Applied optics. Photonics In image processing, one of the most fundamental technique is edge detection. It is a process to detect edges from images by identifying discontinuities in brightness. In this research, we present an enhanced Canny edge detection technique. This method integrates local morphological contrast enhancement and Canny edge detection. Furthermore, the proposed edge detection technique was also applied for pneumonia and COVID-19 detection in digital x-ray images by utilising convolutional neural networks. Results show that this enhanced Canny edge detection technique is better than the traditional Canny technique. Also, we were able to produce classifiers that can classify edge x-ray images into COVID-19, normal, and pneumonia classes with high accuracy, sensitivity, and specificity. 2020 Conference or Workshop Item PeerReviewed text en https://eprints.ums.edu.my/id/eprint/28929/1/FULL%20TEXT.pdf text en https://eprints.ums.edu.my/id/eprint/28929/2/ABSTRACT.pdf S K T Hwa and Abdullah Bade and Mohd. Hanafi Ahmad Hijazi (2020) Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images. In: International Conference on Virtual and Mixed Reality Interfaces 2020, 16 - 17 November 2020, Johor, Malaysia. https://iopscience.iop.org/article/10.1088/1757-899X/979/1/012016/pdf |
| spellingShingle | TA1501-1820 Applied optics. Photonics S K T Hwa Abdullah Bade Mohd. Hanafi Ahmad Hijazi Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images |
| title | Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images |
| title_full | Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images |
| title_fullStr | Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images |
| title_full_unstemmed | Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images |
| title_short | Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images |
| title_sort | enhanced canny edge detection for covid 19 and pneumonia x ray images |
| topic | TA1501-1820 Applied optics. Photonics |
| url | https://eprints.ums.edu.my/id/eprint/28929/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/28929/2/ABSTRACT.pdf |
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