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dc.contributor.authorFataniya, Bhupendra-
dc.contributor.authorJoshi, Meet-
dc.contributor.authorModi, Urmil-
dc.contributor.authorZaveri, Tanish-
dc.date.accessioned2017-01-21T06:33:29Z-
dc.date.available2017-01-21T06:33:29Z-
dc.date.issued2015-
dc.identifier.citationSecond International Symposium on Computer Vision and the Internet (VisionNet’15)en_US
dc.identifier.issndoi: 10.1016/j.procs.2015.08.093-
dc.identifier.urihttp://hdl.handle.net/123456789/7327-
dc.descriptionProcedia Computer Science Vol. 58, 2015, Page No. 723 - 730en_US
dc.description.abstractThis paper presents a method for automatic identification of Herbal Plants Licorice and Rhubarb by microscopic image processing. This method is useful for identifying species from fragments or powders and for distinguishing species with similar morphological characteristics. In first step, desired region of the image is cropped by intensity based segmentation. After that Hu’s moments and compactness parameters are calculated for cropped part which are rotational, scaling and shift invariant. In the final stage using SVM classifier, classify the herbal plants of licorice and rhubarb. Area under the ROC curve for licorice is 0.7051 and for rhubarb it is 0.9487.en_US
dc.publisherScience Directen_US
dc.relation.ispartofseriesITFEC030-6;-
dc.subjectMomentsen_US
dc.subjectSegmentationen_US
dc.subjectCompactness Parameteren_US
dc.subjectSVM Classifieren_US
dc.subjectROC Curveen_US
dc.subjectEC Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFEC030en_US
dc.subjectITFEC008en_US
dc.titleAutomatic Identification of Licorice and Rhubarb by Microscopic Image Processingen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, EC

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