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- Title
INTEGRINIŲ GRANDYNŲ VAIZDŲ SEGMENTAVIMO KOKYBĖS OPTIMIZAVIMAS.
- Authors
Mušketas, Gintautas
- 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%.
- Subjects
GENETIC algorithms; INTEGRATED circuits; MATHEMATICAL optimization; MATHEMATICAL sequences; PARAMETER estimation
- Publication
Science: Future of Lithuania / Mokslas: Lietuvos Ateitis, 2012, Vol 4, Issue 1, p5
- ISSN
2029-2341
- Publication type
Article
- DOI
10.3846/mla.2012.02