DocumentCode
247291
Title
Microscopic Image Analysis Method for Identification of Indian Herbal Plants
Author
Fataniya, B. ; Patel, P.M. ; Zaveri, T. ; Acharya, S.
Author_Institution
Electron. & Commun. Dept., Nirma Univ., Ahmedabad, India
fYear
2014
fDate
12-13 Sept. 2014
Firstpage
1
Lastpage
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.
Keywords
artificial intelligence; data mining; feature extraction; image classification; image segmentation; matrix algebra; powders; visual databases; Kurchi plant; Licorice plant; ROC curves; confusion matrix; image database; image unique feature extraction; machine intelligence; medicinal plant identification; microscopic image analysis method; microscopic images; object segmentation; pharmaceutical industries; pharmaceutical labs; plant powder; test image classification; Algorithm design and analysis; Biomedical imaging; Classification algorithms; Clustering algorithms; Feature extraction; Image segmentation; Microscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Devices, Circuits and Communications (ICDCCom), 2014 International Conference on
Conference_Location
Ranchi
Type
conf
DOI
10.1109/ICDCCom.2014.7024730
Filename
7024730
Link To Document