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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Volume 7 | Issue 8

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Paper Title: Computer Vision Based Feature Extraction of Flower for Identification of Medicinal Values of Plants
Authors Name: Shilpa Dasan , Prof. Savitha Patil
Unique Id: IJSDR1907066
Published In: Volume 4 Issue 7, July-2019
Abstract: 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.
Keywords: SVM, K-means clustering, EM algorithm, Medicinal flower
Cite Article: "Computer Vision Based Feature Extraction of Flower for Identification of Medicinal Values of Plants ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 7, page no.397 - 402, July-2019, Available :http://www.ijsdr.org/papers/IJSDR1907066.pdf
Downloads: 000101773
Publication Details: Published Paper ID: IJSDR1907066
Registration ID:190838
Published In: Volume 4 Issue 7, July-2019
DOI (Digital Object Identifier):
Page No: 397 - 402
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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