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Biology Inspired Image Segmentation using Methods of Artificial Intelligence

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DOI: 10.4236/jsea.2012.512B033    4,199 Downloads   5,963 Views   Citations

ABSTRACT

In recent years,many efforts have been devoted to image segmentation. Although for a man general image segmentation is considered an easy task, for computers it is still considered to be difficult, computationally intensive and still unresolved task. This work presents an innovative algorithm combining theory of artificial intelligence and knowledge of human eye anatomy. The resulting algorithm has not ambitions to be universal like human brain but can be trained and perform on selected domain. The effectiveness of the algorithm is demonstrated on the selected examples.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

R. Burget, V. Uher and J. Masek, "Biology Inspired Image Segmentation using Methods of Artificial Intelligence," Journal of Software Engineering and Applications, Vol. 5 No. 12B, 2012, pp. 172-174. doi: 10.4236/jsea.2012.512B033.

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