30 April 1999 Contour extraction from images with different spectral ranges
Author Affiliations +
Proceedings Volume 3730, Optoelectronic and Electronic Sensors III; (1999) https://doi.org/10.1117/12.346872
Event: Optoelectronic and Electronic Sensors III, 1998, Jurata, Poland
Abstract
The work presents a method for extraction of a thin regularized contour enabling simultaneous processing of the scene images made in various spectral ranges. The method presented can be easily accomplished in the form of a cellular neural network. The basis of the method is the energy function of states of original images, fitted images, and the contour created, which are defined adequately. Optimization of the fitted images and the contour extracted is made with the gradient decrease method in relation to their states. The energy of the states of images is represented as a sum of a few terms corresponding to various effects of the method. The energy of states subjected to the minimization process determines the architecture and dynamics of the neural network.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tadeusz Niedziela, Tadeusz Niedziela, Artur Stankiewicz, Artur Stankiewicz, Leszek R. Jaroszewicz, Leszek R. Jaroszewicz, } "Contour extraction from images with different spectral ranges", Proc. SPIE 3730, Optoelectronic and Electronic Sensors III, (30 April 1999); doi: 10.1117/12.346872; https://doi.org/10.1117/12.346872
PROCEEDINGS
4 PAGES


SHARE
RELATED CONTENT

Future projects in pulse image processing
Proceedings of SPIE (March 22 1999)
Filter Synthesis Using Neural Networks
Proceedings of SPIE (October 25 1989)
Fast error diffusion
Proceedings of SPIE (December 28 2001)

Back to Top