Fig Fruit Image Segmentation using Threshold, K-means Clustering, and Sharp U-Net Techniques-Reference-Cited by-同舟云学术

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

Published:2022-10-25 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA)
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Author:

Md Rosli Nurnajwa Erwina¹,Setumin Samsul¹,Nugroho Anan¹,Che Ani Adi Izhar²,Ikmal Fitri Maruzuki Mohd¹,Osman Mohamed Syazwan³

Affiliation:

1. Universiti Teknologi MARA, Cawangan Pulau Pinang,Centre for Electrical Engineering Studies,Pulau Pinang,Malaysia,13500

2. Universitas Negeri Semarang Kampus UNNES,Jurusan Teknik Elektro, Fakultas Teknik,Jawa Tengah,Indonesia,50229

3. Universiti Teknologi MARA, Cawangan Pulau Pinang,EMZI-UiTM Nanoparticles Colloids & Interface Industrial Research Laboratory (NANO-CORE) School of Chemical Engineering, College of Engineering,Pulau Pinang,Malaysia,13500

Funder

Universiti Teknologi MARA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9935340/9935129/09935411.pdf?arnumber=9935411

Reference21 articles.

1. Bayberry image segmentation based on manifold ranking salient object detection method

2. Quy ph??t trien khoa hoc c??ng nghe quoc gia (Vietnam);sy;IEEE Vietnam Section and Institute of Electrical and Electronics Engineers,2017

3. IEEE International Conference on Power Institute of Electrical and Electronics Engineers and Shenyang Normal University;i c;Proceedings of 2020 IEEE International Conference on Power Intelligent Computing and Systems ICPICS 2020? Shenyang China July 28-30 2020,2020

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