Self-organizing feature maps for image segmentation

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Abstract

A connectionist method for segmenting digital images in grey level is defined. This method relies on the topology preserving property of Kohonen’s self organizing feature maps. This method is adaptive in the sense that the most present on the image an interval of grey values is, the most accurate the segmentation in this range is. Segmentation of various pictures illustrates the method.

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Natowicz, R., & Sokol, R. (1993). Self-organizing feature maps for image segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 686, pp. 626–631). Springer Verlag. https://doi.org/10.1007/3-540-56798-4_212

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