Literature DB >> 16792096

A locally constrained watershed transform.

Richard Beare1.   

Abstract

The watershed transform, from mathematical morphology, is a powerful and flexible tool for segmentation. However, it does not allow a priori knowledge relating to characteristics of region boundaries to be included in the way that other approaches do. This paper introduces the locally constrained watershed transform, which includes border constraints by modifying the underlying path definition upon which the watershed transform depends. This approach maintains many of the desirable properties of the watershed transform, such as well-defined stopping conditions and efficient implementation, while offering more stable segmentation in the presence of noisy or incomplete boundaries.

Mesh:

Year:  2006        PMID: 16792096     DOI: 10.1109/TPAMI.2006.132

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  4 in total

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Journal:  J Biomed Opt       Date:  2013-12       Impact factor: 3.170

2.  Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming.

Authors:  D P McCullough; P R Gudla; B S Harris; J A Collins; K J Meaburn; M A Nakaya; T P Yamaguchi; T Misteli; S J Lockett
Journal:  IEEE Trans Med Imaging       Date:  2008-05       Impact factor: 10.048

3.  FogBank: a single cell segmentation across multiple cell lines and image modalities.

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4.  First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning.

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Journal:  Entropy (Basel)       Date:  2019-04-02       Impact factor: 2.524

  4 in total

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