Separation of blob-like structures using fuzzy distance based hierarchical clustering
2006 (English)In: Symposium on Image Analysis: SSBA 2006, Umeå, Sweden, March 16-17, 2006, Proceedings, 2006Conference paper (Other academic)
We present a method for separation of clustered biomedical blob-like structures in 2D and 3D images. The local maxima found on the fuzzy distance transform of the image are grouped by fuzzy distance based hierarchical clustering and used as seeds in a seeded watershed segmentation to delineate each individual blob. The method shows good initial results and is illustrated on two types of images: bright field microscopy (2D) images of in vitro stem cells and cryo electron tomography (3D) images of the antibody immunoglobulin G.
Place, publisher, year, edition, pages
Computer and Information Science
IdentifiersURN: urn:nbn:se:uu:diva-21703OAI: oai:DiVA.org:uu-21703DiVA: diva2:49476