Translator Disclaimer
Paper
24 September 2007 Pattern recognition with adaptive nonlinear filters
Author Affiliations +
Abstract
In this paper, adaptive nonlinear correlation-based filters for pattern recognition are presented. The filters are based on a sum of minima correlations. To improve the recognition performance of the filters in presence of false objects and geometric distortions, information about the objects is used to synthesize the filters. The performance of the proposed filters is compared to that of the linear synthetic discriminant function filters in terms of noise robustness and discrimination capability. Computer simulation results are provided and discussed.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Saúl Martínez-Díaz and Vitaly Kober "Pattern recognition with adaptive nonlinear filters", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66961Z (24 September 2007); https://doi.org/10.1117/12.734240
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
Back to Top