This paper presents a genetic algorithm (GA) based segmentation technique that can separate two touching objects intended for an automatic recognition of plastic bottles moving on a conveyor belt. The proposed method is based on the possibility to separate the two objects by means of a straight line, whose position is determined by a GA. Extensive testing shows that the proposed method is fast and yields high success rate of correct segmentation with only a limited number of both chromosomes and iterations. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Scavino, E., Wahab, D. A., Basri, H., Mustafa, M. M., & Hussain, A. (2007). An efficient segmentation technique for known touching objects using a genetic algorithm approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4830 LNAI, pp. 786–790). Springer Verlag. https://doi.org/10.1007/978-3-540-76928-6_93
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