Correlation-based nonlinear composite filters applied to image recognition

Saúl Martínez-Díaz

doi:10.1117/12.859762

7 September 2010 Correlation-based nonlinear composite filters applied to image recognition

Saúl Martínez-Díaz

Proceedings Volume 7798, Applications of Digital Image Processing XXXIII; 779822 (2010) https://doi.org/10.1117/12.859762
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

Correlation-based pattern recognition has been an area of extensive research in the past few decades. Recently, composite nonlinear correlation filters invariants to translation, rotation, and scale were proposed. The design of the filters is based on logical operations and nonlinear correlation. In this work nonlinear filters are designed and applied to non-homogeneously illuminated images acquired with an optical microscope. Images are embedded into cluttered background, non-homogeneously illuminated and corrupted by random noise, which makes difficult the recognition task. Performance of nonlinear composite filters is compared with performance of other composite correlation filters, in terms discrimination capability.

Citation Download Citation

Saúl Martínez-Díaz "Correlation-based nonlinear composite filters applied to image recognition", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 779822 (7 September 2010); https://doi.org/10.1117/12.859762

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