Feature Extraction for Image Texture Classification
Sidharthraj. R.S1, A. John Paul Praveen2, S. Balaji3
1Sidharthraj. R.S, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2A. John Paul Praveen, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3S. Balaji, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 05 November 2019 | Revised Manuscript received on 13 December 2019 | Manuscript Published on 31 December 2019 | PP: 70-73 | Volume-9 Issue-2S4 December 2019 | Retrieval Number: B10781292S419/2019©BEIESP | DOI: 10.35940/ijitee.B1078.1292S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Surface request accept a critical activity in PC vision and picture taking care of utilizations. We propose an approach to manage concentrate picture features for surface portrayal. This procedure for removing picture features for request of surfaces is solid to picture insurgency, less sensitive to histogram leveling and bustle. It includes two courses of action of picture features: overpowering close-by twofold models (DLBP) in a surface picture and the beneficial features expelled by using circularly symmetric Gabor channel responses. The predominant close-by twofold model system use the most a great part of the time happened guide to find hypnotizing textural information, while the Gabor-based features go for giving additional overall textural information to the DLBP features.
Keywords: Two Way Relaying, Bidirectional Communications, OFDM, Subcarrier Pairing, Graphical Approach.
Scope of the Article: Image Security