Fig Fruit Image Segmentation using Threshold, K-means Clustering, and Sharp U-Net Techniques

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...

Full description

Bibliographic Details
Published in:2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022
Main Author: Md Rosli N.E.; Setumin S.; Nugroho A.; Che Ani A.I.; Ikmal Fitri Maruzuki M.; Osman M.S.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142422750&doi=10.1109%2feSmarTA56775.2022.9935411&partnerID=40&md5=8b10e727631f0c5f490bc09b8463a561

Internet

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142422750&doi=10.1109%2feSmarTA56775.2022.9935411&partnerID=40&md5=8b10e727631f0c5f490bc09b8463a561

Similar Items