A pattern recognition application of the ALOPEX process with hexagonal arrays

Author

Dasey, Timothy J. ; Micheli-Tzanakou, Evangelia

Author_Institution

Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA

fYear

1989

fDate

0-0 1989

Firstpage

119

Abstract

The ALOPEX process is a broadly defined optimization procedure which simultaneously varies several parameters based on single value feedback and noise application, ALOPEX is used to solve an image recognition problem using several hexagonally based templates. Efficiency improvements are examined, such as a ´temperature´ effect, arrival at optimal parameter values, and a form of parallelization. Two different forms of the ´cost´ function are analyzed, and a hierarchical system is attempted to attain faster ´good´ solutions. The analysis is expanded to multiple template simulations, where the algorithm is able to make appropriate recognition decisions on noisy or incomplete data.<>

Keywords

computerised pattern recognition; computerised picture processing; optimisation; parallel algorithms; ALOPEX process; hexagonal arrays; hexagonally based templates; hierarchical system; image recognition problem; incomplete data; multiple template simulations; noise application; noisy data; optimization procedure; parallel processing; pattern recognition; recognition decisions; single value feedback; Image processing; Optimization methods; Parallel algorithms; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1989. IJCNN., International Joint Conference on

Conference_Location

Washington, DC, USA

Type

conf

DOI

10.1109/IJCNN.1989.118688

Filename

118688