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 :
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