Abstract
Recently several research works propose image segmentation algorithms using MSER. However they aim at segmenting out specific regions corresponding to user-defined objects. This paper proposes a novel algorithm based on MSER which segments natural images without user intervention and captures multi-scale structure. The algorithm collects MSERs and then partitions whole image plane by redrawing them in specific order. To denoise and smooth the region boundaries, hierarchical morphological operations are developed. To illustrate effectiveness of the algorithm’s multi-scale structure, effects of various types of LOD control are shown for image stylization.
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Oh, IS., Lee, J., Majumder, A. (2013). Multi-scale Image Segmentation Using MSER. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_25
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DOI: https://doi.org/10.1007/978-3-642-40246-3_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40245-6
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