Korteweg-de Vries-Kuramoto-Sivashinsky filters in biomedical image processing

Juan Camilo Arango

doi:10.1117/12.2187439

22 September 2015 Korteweg-de Vries-Kuramoto-Sivashinsky filters in biomedical image processing

Juan Camilo Arango

Proceedings Volume 9599, Applications of Digital Image Processing XXXVIII; 95991Y (2015) https://doi.org/10.1117/12.2187439
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

The Kuramoto- Sivashinsky operator is applied to the two-dimensional solution of the Korteweg–de Vries equation and the resulting filter is applied via convolution to image processing. The full procedure is implemented using an algorithm: prototyped with the Maple package named Image Tools. Some experiments were performed using biomedical images, infrared images obtained with smartphones and images generated by photon diffusion. The results from these experiments show that the Kuramoto–Sivashinsky-Korteweg–de Vries Filters are excellent tools for enhancement of images with interesting applications in image processing at general and biomedical image processing in particular. It is expected that the incorporation of the Kuramoto–Sivashinsky-Korteweg–de Vries Filters in standard programs for image processing will led to important improvements in various fields of optical engineering.

Citation Download Citation

Juan Camilo Arango "Korteweg-de Vries-Kuramoto-Sivashinsky filters in biomedical image processing", Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95991Y (22 September 2015); https://doi.org/10.1117/12.2187439

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