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Published in:
2005 | OriginalPaper | Chapter
Image Segmentation Based on Genetic Algorithms Combination
Authors : Vito Di Gesù, Giosuè Lo Bosco
Published in: Image Analysis and Processing – ICIAP 2005
Publisher: Springer Berlin Heidelberg
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The paper describes a new image segmentation algorithm called
Combined Genetic segmentation
which is based on a genetic algorithm. Here, the segmentation is considered as a clustering of pixels and a similarity function based on spatial and intensity pixel features is used. The proposed methodology starts from the assumption that an image segmentation problem can be treated as a
Global Optimization Problem
. The results of the image segmentations algorithm has been compared with recent existing techniques. Several experiments, performed on real images, show good performances of our approach compared to other existing methods.