An improved the volume trace transform by a sub-micro pattern for solving the Gaussian noise image problem

Surachai Ongkittikul; Nattapong Jundang; Sanun Srisuk

doi:10.1117/12.2267866

8 February 2017 An improved the volume trace transform by a sub-micro pattern for solving the Gaussian noise image problem

Surachai Ongkittikul, Nattapong Jundang, Sanun Srisuk

Author Affiliations +

Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 102250Y (2017) https://doi.org/10.1117/12.2267866
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan

Abstract

This paper presents a new data compilation of the image transformation base on the series of the trace transform. The advantage of this new compilation is to solve the noise problem that usually appears in the pattern recognition. Submicro pattern analysis is employ to encode the series of the trace transform from a image which organizes by the shift-invariant sub-micro pattern scheme (SiSMP). Then, all data will sum to the final result by 2-D histogram with the Discriminant Feature Transform. The experiments of our approach show that the new compilation can increase the performance of the recognition compare with the LBP technique by using Brodatz texture database.

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Surachai Ongkittikul, Nattapong Jundang, and Sanun Srisuk "An improved the volume trace transform by a sub-micro pattern for solving the Gaussian noise image problem", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102250Y (8 February 2017); https://doi.org/10.1117/12.2267866

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