Publication Type:

Conference Paper


2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), IEEE, Chennai, India (2016)




allopathic medicines, automated system, Ayurveda, Biomedical imaging, botany, Classification algorithms, Computer vision, Feature extraction, feature set formation, Image color analysis, Image pre processing, Indian Science of Medicine, leaves computer vision based feature extraction, Object recognition, Patient treatment, plant species recognition, plants medicinal values identification, Principal component analysis, Probabilistic Neural Network, Shape, Support vector machines, SVM, therapeutic plants, vision based approach


<p>Plants are considered as one of the greatest assets in the field of Indian Science of Medicine called Ayurveda. Some plants have its medicinal values apart from serving as the source of food. The innovation in the allopathic medicines has degraded the significance of these therapeutic plants. People failed to have their medications at their door step instead went behind the fastest cure unaware of its side effects. One among the reasons is the lack of knowledge about identifying medicinal plants among the normal ones. So, a Vision based approach is being employed to create an automated system which identifies the plants and provides its medicinal values thus helping even a common man to be aware of the medicinal plants around them. This paper discusses about the formation of the feature set which is the important step in recognizing any plant species.</p>

Cite this Research Publication

Dr. Venkataraman D. and Mangayarkarasi, N., “Computer vision based feature extraction of leaves for identification of medicinal values of plants”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai, India, 2016.

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