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Proceedings Paper

An improved the volume trace transform by a sub-micro pattern for solving the Gaussian noise image problem
Author(s): Surachai Ongkittikul; Nattapong Jundang; Sanun Srisuk
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Paper 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.

Paper Details

Date Published: 8 February 2017
PDF: 5 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102250Y (8 February 2017); doi: 10.1117/12.2267866
Show Author Affiliations
Surachai Ongkittikul, Mahanakorn Univ. of Technology (Thailand)
Nattapong Jundang, Mahanakorn Univ. of Technology (Thailand)
Sanun Srisuk, Nakhon Phanom Univ. (Thailand)

Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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