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dc.contributor.authorFataniya, Bhupendra-
dc.contributor.authorPatel, Prachi-
dc.contributor.authorZaveri, Tanish-
dc.contributor.authorAcharya, Sanjeev-
dc.date.accessioned2015-07-08T09:52:05Z-
dc.date.available2015-07-08T09:52:05Z-
dc.date.issued2014-
dc.identifier.citation6. International Conference on Devices, Circuits & Communications (ICDCCom-2014) ,Birla Institute of Technology, Mesra, Ranchi, Indiaen_US
dc.identifier.urihttp://hdl.handle.net/123456789/5490-
dc.description.abstractIdentification of medicinal plant from its powder is a common task performed in pharmaceutical labs and industries. In this paper, we are proposed a identification using machine intelligence. The algorithm is designed for the microscopic images of plant powder and segment the specific object from these images. From the extracted image unique features are identified and using this we train our algorithm and classify the test images. We have prepared the image database at our pharmacy lab for two plants namely Licorice and Kurchi plant. The proposed algorithm is applied on the variety of fifty images and results are described using confusion matrix and ROC curves.en_US
dc.relation.ispartofseriesITFEC030-5;-
dc.subjectK-Meansen_US
dc.subjectMicroscopic Imagesen_US
dc.subjectSegmentationen_US
dc.subjectEC Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFEC030en_US
dc.subjectPF32en_US
dc.titleMicroscopic Image Analysis Method for Identification of Indian Herbal Plantsen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, EC

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