IR @ Nirma University
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http://10.1.7.192:80/jspui/handle/123456789/5490| Title: | Microscopic Image Analysis Method for Identification of Indian Herbal Plants |
| Authors: | Fataniya, Bhupendra Patel, Prachi Zaveri, Tanish Acharya, Sanjeev |
| Keywords: | K-Means Microscopic Images Segmentation EC Faculty Paper Faculty Paper ITFEC030 PF32 |
| Issue Date: | 2014 |
| Citation: | 6. International Conference on Devices, Circuits & Communications (ICDCCom-2014) ,Birla Institute of Technology, Mesra, Ranchi, India |
| Series/Report no.: | ITFEC030-5; |
| 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. |
| URI: | http://hdl.handle.net/123456789/5490 |
| Appears in Collections: | Faculty Papers, EC |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ITFEC030-5.pdf | ITFEC030-5 | 399.63 kB | Adobe PDF |  View/Open |
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