Single Bean Region of Interest Auto-Detection in a Coffee Beans Image Towards Thorough Quality Inspection-Reference-Cited by-同舟云学术

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Single Bean Region of Interest Auto-Detection in a Coffee Beans Image Towards Thorough Quality Inspection

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Instrumentation, Control, and Automation (ICA)
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Author:

Utomo Gema Nuran¹,Rakhmawati Amalia²,Nadhira Vebi³,Juliastuti Endang³,Suprijanto Suprijanto³

Affiliation:

1. Institut Teknologi Bandung,Master's Program in Instrumentation and Control,Bandung,Indonesia,40132

2. Institut Teknologi Bandung,Doctoral Program in Engineering Physics,Bandung,Indonesia,40132

3. Institut Teknologi Bandung,Instrumentation and Control Reaserch Group,Bandung,Indonesia,40132

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10273006/10273046/10273088.pdf?arnumber=10273088

Reference18 articles.

1. The use of multispectral imaging for the discrimination of Arabica and Robusta coffee beans

2. Propose A Simple and Practical Vehicle Logo Detection and Extraction Framework;kadhm;International Journal of Emerging Trends & Technology in Computer Science,2015

3. Dynamic Weights Equations for Converting Grayscale Image to RGB Image

4. Deep Learning to Detect and Classify the Purity Level of Luwak Coffee Green Beans;hendrawan;Pertanika J Sci & Technol,2022

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