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DC Field | Value | Language |
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dc.contributor.author | Fataniya, Bhupendra | - |
dc.contributor.author | Joshi, Meet | - |
dc.contributor.author | Modi, Urmil | - |
dc.contributor.author | Zaveri, Tanish | - |
dc.date.accessioned | 2017-01-21T06:33:29Z | - |
dc.date.available | 2017-01-21T06:33:29Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Second International Symposium on Computer Vision and the Internet (VisionNet’15) | en_US |
dc.identifier.issn | doi: 10.1016/j.procs.2015.08.093 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/7327 | - |
dc.description | Procedia Computer Science Vol. 58, 2015, Page No. 723 - 730 | en_US |
dc.description.abstract | This 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.publisher | Science Direct | en_US |
dc.relation.ispartofseries | ITFEC030-6; | - |
dc.subject | Moments | en_US |
dc.subject | Segmentation | en_US |
dc.subject | Compactness Parameter | en_US |
dc.subject | SVM Classifier | en_US |
dc.subject | ROC Curve | en_US |
dc.subject | EC Faculty Paper | en_US |
dc.subject | Faculty Paper | en_US |
dc.subject | ITFEC030 | en_US |
dc.subject | ITFEC008 | en_US |
dc.title | Automatic Identification of Licorice and Rhubarb by Microscopic Image Processing | en_US |
dc.type | Faculty Papers | en_US |
Appears in Collections: | Faculty Papers, EC |
Files in This Item:
File | Description | Size | Format | |
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ITFEC030-6.pdf | ITFEC030-6 | 374.91 kB | Adobe PDF | ![]() View/Open |
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