Mathematical Morphology on Irregularly Sampled Signals
2016 (English)In: Proceedings of Workshop on Discrete Geometry and Mathematical Morphology for Computer Vision In conjunction with ACCV 2016, Taipei, Taiwan, 2016, 2016Conference paper (Refereed)
This paper introduces a new operator that can be used to approximate continuous-domain mathematical morphology on irregularly sampled surfaces. We define a new way of approximating the continuous domain dilation by duplicating and shifting samples according to a flat continuous structuring element. We show that the proposed algorithm can better approximate continuous dilation, and that dilations may be sampled irregularly to achieve a smaller sampling without greatly compromising the accuracy of the result.
Place, publisher, year, edition, pages
Computer Science Computational Mathematics
IdentifiersURN: urn:nbn:se:uu:diva-309921OAI: oai:DiVA.org:uu-309921DiVA: diva2:1053063
Workshop on Discrete Geometry and Mathematical Morphology for Computer Vision Held in conjunction with ACCV 2016, Taipei, Taiwan, 2016
FunderSwedish Research Council, 2014-5983