Aperture filter optimization

• Autorzy: Chłapiński J. , Ciota Z.
• Języki publikacji: EN

Abstrakty

EN

Aperture filters are a relatively new class of image operators, where in addition to the domain constraint, imposed by windowing, the range constraint is defined, and effectively condensing probability mass to improve filter output estimates. In this paper the automatic design methodology by means of stochastic optimization is proposed, which can generate an aperture filter to suit a specific application. Usability of presented method was verified experimentally, and the results are presented in the paper.

Słowa kluczowe

EN

aperture filters; mathematical morphology; image processing

PL

filtry przysłony; matematyczna morfologia; przetwarzanie obrazów

• Wydawca: Lodz University of Technology. Department of Microelectronics and Computer Science
• Czasopismo: International Journal of Microelectronics and Computer Science
• Rocznik: 2010
• Tom: Vol. 1, nr 1
• Strony: 42--47
• Opis fizyczny: Bibliogr. 10 poz.

Twórcy

autor

Chłapiński J.

autor

Ciota Z.

• Technical University of Lodz Department of Microelectronics and Computer Science Łódź, Poland,

Bibliografia

• [1] Roberto Hirata, Edward R. Dougherty, and Junior Barrera. Aperture filters. Signal Processing, 80:697-721,2000.
• [2] Roberto Hirata, Marcel Brun, Junior Barrera, and Edward R. Dougherty. Multiresolution design of aperture operators. Mathematical Imaging and Vision, 16:199-222, 2002.
• [3] Roberto Hirata, Marcel Brun, Junior Barrera, and Edward R. Dougherty. Multiresolution design of aperture operators. Mathematical Imaging and Vision, 16:199-222, 2002.
• [4] Alan C. Green, Stephen Marshall, David Greenhalgh, and Edward R. Dougherty. Design of multi-mask aperture filters. Signal Processing, 83:1961-1971,2003.
• [5] Roberto Hirata, Edward R. Dougherty, and Junior Barrera. Design of greyscale nonlinear filters via multiresolution apertures. In EUSIPCO 2000, Tampere, Finland, September 2000.
• [6] Edward R. Dougherty and Divyendu Sinha. Computational mathematical morphology. Signal Processing, 38:21-29, 1994.
• [7] Jakub Chłapiński, Stephen Marshall. Releasing Aperture Filter Constraints, EUSIPCO 2007, September 2007, Poznan, Poland.
• [8] John R. Koza and J. Rice. Genetic Programming on the Programming by means of Natural Selection. The MIT Press, Cambridge, 1992.
• [9] S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, New Series 220 (4598):671-680, 1983.
• [10] V. Cerny. A thermodynamical approach to the travelling salesman problem: an efficient simulation algorithm. Journal of Optimization Theory and Applications, 45:41-51, 1985.