Publication Type : Journal Article
Publisher : Procedia Computer Science
Source : Procedia Computer Science, Volume 143, p.474-480 (2018)
Url : https://www.sciencedirect.com/science/article/pii/S1877050918321173
Keywords : OpenCV, Support Vector Machine, Vanilla andamanica, Vanilla planifolia
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2018
Abstract : Image analysis approach is adopted for identifying two species of vanilla; a popular spice yielding orchid. Vanilla species namely Vanilla planifolia (cultivated species) and Vanilla andamanica (wild species) were compared using image analysis of their leaves which is otherwise done using plant taxonomical methods, mainly flower morphology. Geometric features of the leaves of the two species were computed and four features were identified for distinguishing these two species. Support Vector Machine classifier was employed to get accurate results. The algorithm was implemented in OpenCV-Java. This facilitates porting the application to an embedded platform which is in progress. The approach is helpful for identifying these two species of Vanilla before flowering.
Cite this Research Publication : N. K. Ambika and Supriya P., “Detection of Vanilla Species by Employing Image Processing Approach”, Procedia Computer Science, vol. 143, pp. 474-480, 2018.