Science – Future of Lithuania / Mokslas – Lietuvos Ateitis, Vol 4, No 1 (2012)

Optimization of Segmentation Quality of Integrated Circuit Images

Gintautas Mušketas


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%.

Artcile in Lithuanian

Article in: Lithuanian

Article published: 2012-04-23

Keyword(s): image segmentation; genetic algorithms; integrated circuits; optimization

DOI: 10.3846/mla.2012.02

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Science – Future of Lithuania / Mokslas – Lietuvos Ateitis ISSN 2029-2341, eISSN 2029-2252
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