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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17425
Title: Binary Gabor pattern feature extraction technique for hardwood species classification
Authors: Yadav A.R.
Kumar J.
Anand, Radhey Shyam
Dewal M.L.
Gupta S.
Pal A.K.
Tripathi S.
Published in: Proceedings of 4th IEEE International Conference on Recent Advances in Information Technology, RAIT 2018
Abstract: This paper presents a binary Gabor pattern (BGP) feature extraction technique to acquire significant texture features of microscopic images of hardwood species and later these feature are used to discriminate the hardwood species into 75 different categories. The usefulness of the BGP feature extraction technique has been examined with the help of three classifiers, namely, linear support vector machine (LSVM), radial basis function support vector machine (RBFSVM) and random forest (RF) classification algorithms. Further, the performance of the BGP feature extraction technique for hardwood species classification has been evaluated against several texture feature techniques. The comparison of the results obtained by the feature extraction techniques recommends that BGP feature extraction technique has been better for microscopic images of hardwood species classification than the other feature extraction techniques. © 2018 IEEE.
Citation: Proceedings of 4th IEEE International Conference on Recent Advances in Information Technology, RAIT 2018, (2018), 1- 6
URI: https://doi.org/10.1109/RAIT.2018.8389066
http://repository.iitr.ac.in/handle/123456789/17425
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Binary Gabor pattern
Hardwood species
Local binary pattern
Support vector machine
ISBN: 9.78154E+12
Author Scopus IDs: 56118640500
57210529896
56363331000
6603331083
7407271556
Author Affiliations: Yadav, A.R., Department of Electrical Engineering, IIT Roorkee, Roorkee, Uttarakhand, 247667, India
Kumar, J., Department of Electrical Engineering, IIT Roorkee, Roorkee, Uttarakhand, 247667, India
Anand, R.S., Department of Electrical Engineering, IIT Roorkee, Roorkee, Uttarakhand, 247667, India
Dewal, M.L., Department of Electrical Engineering, IIT Roorkee, Roorkee, Uttarakhand, 247667, India
Gupta, S., Botany Division, Forest Research Institute Dehradun, Dehradun, Uttarakhand, 248006, India
Appears in Collections:Conference Publications [EE]

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