Fig Fruit Image Segmentation using Threshold, K-means Clustering, and Sharp U-Net Techniques
In this study, image segmentation on Ficus Carica (fig) was developed. Fig fruit image segmentation separates fruit objects by removing the background in the image, including shadow images, and extracting the fruit shape. The developed methods for fig image segmentation were evaluated to identify ho...
| Published in: | 2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142422750&doi=10.1109%2feSmarTA56775.2022.9935411&partnerID=40&md5=8b10e727631f0c5f490bc09b8463a561 |