Using quantum filters as edge detectors in infrared images

Daniela  Bolaños Marín

doi:10.1117/12.2049786

Abstract

Some new filters inspired in quantum models are used as edge detectors in infrared images. In this case, Bessel, Hermite and Morse filters will be applied to detect edges and fibrillar structures in infrared images. The edge detectors will be built by the Laplacian of the mentioned quantum filters. Furthermore, using curvature operators, curvature detectors and amplifiers of contrast will be constructed to analyze infrared images. The quantum filter prototyping will be done using computer algebra software, specifically Maple and its package, ImageTools. The quantum filters will be applied to infrared images using the technique of convolutions and blurred derivatives. It is expected that designed quantum filters will be useful for analysis and processing of infrared images. As future investigations, we propose to design plugins with the quantum filters that can be incorporated into the program ImageJ, which will facilitate the use of the quantum filters for the infrared image processing.

Citation Download Citation

Daniela Bolaños Marín, Daniela Bolaños Marín, } "Using quantum filters as edge detectors in infrared images", Proc. SPIE 9070, Infrared Technology and Applications XL, 90703G (24 June 2014); doi: 10.1117/12.2049786; https://doi.org/10.1117/12.2049786

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