An Automatic Medical Image Segmentation using Teaching Learning Based Optimization

Nature inspired population based evolutionary algorithms are very popular with their competitive solutions for a wide variety of applications. Teaching Learning based Optimization (TLBO) is a very recent population based evolutionary algorithm evolved on the basis of Teaching Learning process of a class room. TLBO does not require any algorithmic specific parameters. This paper proposes an automatic grouping of pixels into different homogeneous regions using the TLBO. The experimental results have demonstrated the effectiveness of TLBO in image segmentation.

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