GLCM Feature-Based Texture Image Classification Using Support Vector Machine

Author:

Anand R.ORCID,Shanthi T.ORCID,Sabeenian R. S.ORCID,Paramasivam M. E.ORCID,Manju K.ORCID

Publisher

Springer International Publishing

Reference15 articles.

1. Anand, R., Shanthi, T., Nithish, M. S., & Lakshman, S. (2020). Face recognition and classification using GoogleNET architecture. In K. Das, J. Bansal, K. Deep, A. Nagar, P. Pathipooranam, & R. Naidu (Eds.), Soft computing for problem solving. Advances in intelligent systems and computing (Vol. 1048). Singapore: Springer.

2. Veni, S., Anand, R., & Vivek, D. (2020). Driver assistance through geo-fencing, sign board detection and reporting using android smartphone. In K. Das, J. Bansal, K. Deep, A. Nagar, P. Pathipooranam, & R. Naidu (Eds.), Soft computing for problem solving. Advances in intelligent systems and computing (Vol. 1057). Singapore: Springer.

3. Veni, S., Anand, R., & Vivek, D. (2020). Driver assistance through geo-fencing, sign board detection and reporting using android smartphone. In K. Das, J. Bansal, K. Deep, A. Nagar, P. Pathipooranam, & R. Naidu (Eds.), Soft computing for problem solving. Advances in intelligent systems and computing (Vol. 1057). Singapore: Springer.

4. G. Kylberg. The Kylberg texture dataset v. 1.0, Centre for Image Analysis, Swedish University of Agricultural Sciences and Uppsala University, External report (Blue series) No. 35. Available online at: http://www.cb.uu.se/gustaf/texture/

5. Anand, R., Veni, S., & Aravinth, J. (2016). An application of image processing techniques for detection of diseases on brinjal leaves using k-means clustering method. 2016 International Conference on Recent Trends in Information Technology (ICRTIT). IEEE.

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