Decision aid system for Omani medical herb leaves recognition using computer vision and artificial intelligence

Majed Bouchahma, Mohsin Al-Balushi, Sheikha Al-Hosni and Hamood Al Wardi

International Journal of Information and Decision Sciences, 2019, vol. 11, issue 2, 129-140

Abstract: Herbs have been widely used in food preparation, medicine and cosmetic industry. Knowing which herbs to be used would be very critical in these applications. This research aims to define a method to classify the herbs plants based on their leaves colours and shapes. An open source decision aid system is designed and developed especially for helping scientist. The proposed system employs artificial and image processing techniques to perform recognition on a number of Omani species of medical herbs.

Keywords: decision aid system; DAS; medical herbs; computer vision; artificial intelligence; speeded up robust features; SURF. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=101142 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:11:y:2019:i:2:p:129-140

Access Statistics for this article

More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().