Computer Vision Based Feature Extraction of Flower for Identification of Medicinal Values of Plants
Shilpa Dasan
, Prof. Savitha Patil
SVM, K-means clustering, EM algorithm, Medicinal flower
Plants play a vital role in the field of Indian science of medicine called Ayurveda. Apart from serving as source of food, some plants have medicinal properties. Even though in our surrounding we have medicinal plants, we can’t get it at our door step instead we refer fastest cure without knowing its side effects. The reason behind this is lack of knowledge about medicinal plant among the normal ones. So, a Vision based technique has been used to create automated system which helps even common man to identify medicinal plant around them. The main goal is to extract certain features from the input image by applying different techniques like thresholding, segmentation. In processing stage the input image is applied to SVM classifier in order to classify image. In this paper, it is analyzed that medicinal plant have successfully rate using image processing.
"Computer Vision Based Feature Extraction of Flower for Identification of Medicinal Values of Plants ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 7, page no.397 - 402, July-2019, Available :https://ijsdr.org/papers/IJSDR1907066.pdf
Volume 4
Issue 7,
July-2019
Pages : 397 - 402
Paper Reg. ID: IJSDR_190838
Published Paper Id: IJSDR1907066
Downloads: 000347215
Research Area: Engineering
Country: Yadgiri, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
