1. INTEGRINIŲ GRANDYNŲ VAIZDŲ SEGMENTAVIMO KOKYBĖS OPTIMIZAVIMAS.
- Author
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Mušketas, Gintautas
- Subjects
- *
GENETIC algorithms , *INTEGRATED circuits , *MATHEMATICAL optimization , *MATHEMATICAL sequences , *PARAMETER estimation - Abstract
The paper presents investigation into the application of genetic algorithms for the segmentation of the active regions of integrated circuit images. This article is dedicated to a theoretical examination of the applied methods (morphological dilation, erosion, hit-and-miss, threshold) and describes genetic algorithms, image segmentation as optimization problem. The genetic optimization of the predefined filter sequence parameters is carried out. Improvement to segmentation accuracy using a non-optimized filter sequence makes 6%. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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