Feature detection using 2D Wiener spike filters

Eric C. Rosen

doi:10.1117/12.158636

20 October 1993 Feature detection using 2D Wiener spike filters

Eric C. Rosen

Proceedings Volume 2028, Applications of Digital Image Processing XVI; (1993) https://doi.org/10.1117/12.158636
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

The authors presents an algorithm for computing two-dimensional convolution filters that can detect characters and other image features by generalizing the previously derived one- dimensional Wiener Spike Filter. The author motivates the technique of Wiener Spike Filter design, provides a formal derivation for the two-dimensional generalization, gives a sample example, and describes the results of applying the technique to the task of detecting and recognizing specific English characters. The procedure can be easily adapted to recognize any specific feature that can be expressed as an image.

Citation Download Citation

Eric C. Rosen "Feature detection using 2D Wiener spike filters", Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); https://doi.org/10.1117/12.158636

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