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Unsupervised color image segmentation: A case of RGB histogram based K-means clustering initializati...

Unsupervised color image segmentation: A case of RGB histogram based K-means clustering initializati...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2453675094

Unsupervised color image segmentation: A case of RGB histogram based K-means clustering initialization

About this item

Full title

Unsupervised color image segmentation: A case of RGB histogram based K-means clustering initialization

Publisher

United States: Public Library of Science

Journal title

PloS one, 2020-10, Vol.15 (10), p.e0240015-e0240015

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Color-based image segmentation classifies pixels of digital images in numerous groups for further analysis in computer vision, pattern recognition, image understanding, and image processing applications. Various algorithms have been developed for image segmentation, but clustering algorithms play an important role in the segmentation of digital ima...

Alternative Titles

Full title

Unsupervised color image segmentation: A case of RGB histogram based K-means clustering initialization

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2453675094

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2453675094

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0240015

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