Leaf Features based approach for Automated Identification of Medicinal Plants

被引：0
|
作者：
Kumar, E. Sandeep [1 ]
Talasila, Viswanath [1 ]
机构：
[1] MS Ramaiah Inst Technol, Dept Telecommun Engn, Bangalore 560054, Karnataka, India
来源：
2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP) | 2014年
关键词：
Ayurvedic Medicinal system; Image processing; Statistical parameters;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Use of the correct plant extracts is crucial in Ayurvedic treatment. This paper focuses on the automatic identification of medicinal plants that are commonly used in Ayurveda. Previous work indicated a Gaussian distribution for various image related features of the medical plant leaves. This work strengthens this conclusion by extending the results through a better classifier design. In this work, we have considered additional plant species to prove that obtained image features are again Gaussian distributed, with the accuracy of the classifier computed.
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页数：5
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