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Yeast cell detection in color microscopic images using ROC‐optimized decoloring and segmentation

Yeast cell detection in color microscopic images using ROC‐optimized decoloring and segmentation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5b025a54172243e8abdf5d93ea5b1182

Yeast cell detection in color microscopic images using ROC‐optimized decoloring and segmentation

About this item

Full title

Yeast cell detection in color microscopic images using ROC‐optimized decoloring and segmentation

Author / Creator

Publisher

John Wiley & Sons, Inc

Journal title

IET Image Processing, 2022-02, Vol.16 (2), p.606-621

Language

English

Formats

Publication information

Publisher

John Wiley & Sons, Inc

Subjects

Subjects and topics

More information

Scope and Contents

Contents

For the detection and evaluation of yeast cell microscopic images, decoloring and segmentation is crucial. Usually, a standard operation of color conversion to grayscale is used and subsequently, a thresholding algorithm is applied to yield the segmented cells. However, both types of these operations are controlled merely by fixed empirical paramet...

Alternative Titles

Full title

Yeast cell detection in color microscopic images using ROC‐optimized decoloring and segmentation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5b025a54172243e8abdf5d93ea5b1182

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5b025a54172243e8abdf5d93ea5b1182

Other Identifiers

ISSN

1751-9659

E-ISSN

1751-9667

DOI

10.1049/ipr2.12376

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