OPTIMIZATION OF SEGMENTATION QUALITY OF INTEGRATED CIRCUIT IMAGES / INTEGRINIŲ GRANDYNŲ VAIZDŲ SEGMENTAVIMO KOKYBĖS OPTIMIZAVIMAS | Zendy

Gintautas Mušketas | Zendy

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OPTIMIZATION OF SEGMENTATION QUALITY OF INTEGRATED CIRCUIT IMAGES / INTEGRINIŲ GRANDYNŲ VAIZDŲ SEGMENTAVIMO KOKYBĖS OPTIMIZAVIMAS

Author(s) -

Gintautas Mušketas

Publication year - 2012

Publication title -

mokslas - lietuvos ateitis

Language(s) - English

Resource type - Journals

eISSN - 2029-2341

pISSN - 2029-2252

DOI - 10.3846/mla.2012.02

Subject(s) - segmentation , artificial intelligence , filter (signal processing) , computer science , dilation (metric space) , genetic algorithm , image segmentation , computer vision , sequence (biology) , pattern recognition (psychology) , mathematics , machine learning , combinatorics , biology , genetics

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

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