Modified canny edge detection technique for identifying endpoints
Edge detection is an image processing technique that retains the edges of an object in an image while discarding other features. The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. However, one of its probl...
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my.ums.eprints.343892022-10-12T02:40:48Z https://eprints.ums.edu.my/id/eprint/34389/ Modified canny edge detection technique for identifying endpoints Kieu, STH Abdullah Bade Mohd Hanafi Ahmad Hijazi QA71-90 Instruments and machines Edge detection is an image processing technique that retains the edges of an object in an image while discarding other features. The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. However, one of its problems is the discontinued edges. In this paper, we present an endpoint identification algorithm that can pinpoint the position of the discontinued edges. After the endpoints are identified, they are paired together based on distance, and the broken gaps are filled by connecting the endpoints. Results have shown that, visually, our method has fewer discontinued edges when compared to Canny. Also, the mean square error of our method is lower than traditional Canny, indicating that our technique produces edge images that are more accurate than the traditional Canny. 2022 Conference or Workshop Item PeerReviewed text en https://eprints.ums.edu.my/id/eprint/34389/1/FULL%20TEXT.pdf text en https://eprints.ums.edu.my/id/eprint/34389/2/ABSTRACT.pdf Kieu, STH and Abdullah Bade and Mohd Hanafi Ahmad Hijazi (2022) Modified canny edge detection technique for identifying endpoints. In: 14th Seminar on Science and Technology 2021 (S&T 2021) (Virtual Conference), 8 - 9 September 2021, Virtually. https://iopscience.iop.org/article/10.1088/1742-6596/2314/1/012023/pdf |
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QA71-90 Instruments and machines Kieu, STH Abdullah Bade Mohd Hanafi Ahmad Hijazi Modified canny edge detection technique for identifying endpoints |
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Edge detection is an image processing technique that retains the edges of an object in an image while discarding other features. The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. However, one of its problems is the discontinued edges. In this paper, we present an endpoint identification algorithm that can pinpoint the position of the discontinued edges. After the endpoints are identified, they are paired together based on distance, and the broken gaps are filled by connecting the endpoints. Results have shown that, visually, our method has fewer discontinued edges when compared to Canny. Also, the mean square error of our method is lower than traditional Canny, indicating that our technique produces edge images that are more accurate than the traditional Canny. |
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Conference or Workshop Item |
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Kieu, STH Abdullah Bade Mohd Hanafi Ahmad Hijazi |
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Kieu, STH Abdullah Bade Mohd Hanafi Ahmad Hijazi |
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Kieu, STH |
title |
Modified canny edge detection technique for identifying endpoints |
title_short |
Modified canny edge detection technique for identifying endpoints |
title_full |
Modified canny edge detection technique for identifying endpoints |
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Modified canny edge detection technique for identifying endpoints |
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Modified canny edge detection technique for identifying endpoints |
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modified canny edge detection technique for identifying endpoints |
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2022 |
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https://eprints.ums.edu.my/id/eprint/34389/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/34389/2/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/34389/ https://iopscience.iop.org/article/10.1088/1742-6596/2314/1/012023/pdf |
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