Open AccessOPTIMIZATION 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