Abstract
In this paper, we suggest an optimization method of parameters of color image segmentation using evolutionary programming (EP). The objective image is colored papers on the background of varying intensity. And, evaluation methods for segmented images are modified. Also, an experiment for these images is performed. This EP based parameter optimization method for solving an indoor image segmentation problem will be applied to service robot vision system.
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© 1997 Springer-Verlag Berlin Heidelberg
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Song, WK., Bien, Z. (1997). Optimization of parameters of color image segmentation using evolutionary programming. In: Yao, X., Kim, JH., Furuhashi, T. (eds) Simulated Evolution and Learning. SEAL 1996. Lecture Notes in Computer Science, vol 1285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028526
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DOI: https://doi.org/10.1007/BFb0028526
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Publisher Name: Springer, Berlin, Heidelberg
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