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DC Field | Value | Language |
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dc.contributor.author | Fataniya, Bhupendra | - |
dc.contributor.author | Patel, Prachi | - |
dc.contributor.author | Zaveri, Tanish | - |
dc.contributor.author | Acharya, Sanjeev | - |
dc.date.accessioned | 2015-07-08T09:52:05Z | - |
dc.date.available | 2015-07-08T09:52:05Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | 6. International Conference on Devices, Circuits & Communications (ICDCCom-2014) ,Birla Institute of Technology, Mesra, Ranchi, India | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/5490 | - |
dc.description.abstract | Identification 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.ispartofseries | ITFEC030-5; | - |
dc.subject | K-Means | en_US |
dc.subject | Microscopic Images | en_US |
dc.subject | Segmentation | en_US |
dc.subject | EC Faculty Paper | en_US |
dc.subject | Faculty Paper | en_US |
dc.subject | ITFEC030 | en_US |
dc.subject | PF32 | en_US |
dc.title | Microscopic Image Analysis Method for Identification of Indian Herbal Plants | 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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ITFEC030-5.pdf | ITFEC030-5 | 399.63 kB | Adobe PDF | ![]() View/Open |
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