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A sharp concentration-based adaptive segmentation algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2010) 6454 LNCS(PART 2) 85-96
DOI: 10.1007/978-3-642-17274-8_9
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Abstract

We propose an adaptive procedure for segmenting images by merging of homogeneous regions. The algorithm is based on sharp concentration inequalities and is tailored to avoid over- and under-merging by controlling simultaneously the type I and II errors in the associated statistical testing problem. © 2010 Springer-Verlag.

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Fiorio, C., & Mas, A. (2010). A sharp concentration-based adaptive segmentation algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6454 LNCS, pp. 85–96). https://doi.org/10.1007/978-3-642-17274-8_9

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