Color quality assessment of coconut sugar using Artificial Neural Network (ANN)
8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015, Page: 1-5
2016
- 5Citations
- 9Usage
- 29Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations5
- Citation Indexes4
- CrossRef1
- Patent Family Citations1
- 1
- Usage9
- Abstract Views9
- Captures29
- Readers29
- 29
Conference Paper Description
This paper presents a simple color recognition algorithm using digital image processing techniques and pattern recognition to eliminate the subjectiveness of manual inspection of the quality of coconut sugar based on Philippine National Standard. The image processing was built using MATLAB functions through RGB acquisition. The Backpropagation Artificial Neural Network was used in this project to enhance the accuracy and performance of image processing. The database of the network involved 300 images and 70% of these were used for training the network, 15% for validation and 15% for testing.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84965111157&origin=inward; http://dx.doi.org/10.1109/hnicem.2015.7393182; http://ieeexplore.ieee.org/document/7393182/; http://xplorestaging.ieee.org/ielx7/7386242/7393160/07393182.pdf?arnumber=7393182; https://animorepository.dlsu.edu.ph/faculty_research/2771; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=3770&context=faculty_research
Institute of Electrical and Electronics Engineers (IEEE)
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