Title :
Convergence of images in the ALOPEX process with moment invariants and probabilities
Author :
Micheli-Tzanakou, Evangelia ; Chon, Tae Soo
Author_Institution :
Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
Abstract :
An iterative optimization technique that uses feedback to optimize the response of a system has been developed. The method, called the ALOPLEX process, uses a cost function that is problem-dependent and utilizes cross correlations as a feedback for optimization. The possibility of using probabilities and moment invariants in speeding up the convergence of the ALOPEX process is explored
Keywords :
iterative methods; optimisation; pattern recognition; picture processing; ALOPLEX process; cost function; feedback; iterative optimization technique; moment invariants; probabilities; problem-dependent function; Animals; Biomedical engineering; Biomedical measurements; Convergence; Equations; Feedback; Image converters; Joining processes; Optimization methods; Pattern recognition;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96588
