Superpixel Segmentation Based on Grid Point Density Peak Clustering
Superpixel Segmentation Based on Grid Point Density Peak Clustering
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Superpixel segmentation is one of the key image preprocessing steps in object recognition and detection methods. However, the over-segmentation in the smoothly connected homogenous region in an image is the key problem. That would produce redundant complex jagged textures. In this paper, the density peak clustering will be used to reduce the redund...
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Full title
Superpixel Segmentation Based on Grid Point Density Peak Clustering
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TN_cdi_doaj_primary_oai_doaj_org_article_fef3dda045254d6598c044ab07a2541d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fef3dda045254d6598c044ab07a2541d
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21196374
