Multiresolution multiscale active mask segmentation of fluorescence microscope images

Gowri Srinivasa, Matthew Fickus, Jelena Kovacevic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose an active mask segmentation framework that combines the advantages of statistical modeling, smoothing, speed and flexibility offered by the traditional methods of region-growing, multiscale, multiresolution and active contours respectively. At the crux of this framework is a paradigm shift from evolving contours in the continuous domain to evolving multiple masks in the discrete domain. Thus, the active mask framework is particularly suited to segment digital images. We demonstrate the use of the framework in practice through the segmentation of punctate patterns in fluorescence microscope images. Experiments reveal that statistical modeling helps the multiple masks converge from a random initial configuration to a meaningful one. This obviates the need for an involved initialization procedure germane to most of the traditional methods used to segment fluorescence microscope images. While we provide the mathematical details of the functions used to segment fluorescence microscope images, this is only an instantiation of the active mask framework. We suggest some other instantiations of the framework to segment different types of images.

Original languageEnglish (US)
Title of host publicationWavelets XIII
Volume7446
DOIs
StatePublished - Nov 20 2009
EventWavelets XIII - San Diego, CA, United States
Duration: Aug 2 2009Aug 4 2009

Other

OtherWavelets XIII
CountryUnited States
CitySan Diego, CA
Period8/2/098/4/09

Fingerprint

Multiresolution
Microscope
Fluorescence
Mask
Masks
Microscopes
masks
Segmentation
microscopes
fluorescence
Statistical Modeling
Region Growing
Active Contours
smoothing
Digital Image
Initialization
flexibility
Framework
Smoothing
Flexibility

Keywords

  • Active contours
  • Active masks
  • Cellular automata
  • Fluorescence microscopy
  • Multiresolution
  • Multiscale
  • Segmentation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Multiresolution multiscale active mask segmentation of fluorescence microscope images. / Srinivasa, Gowri; Fickus, Matthew; Kovacevic, Jelena.

Wavelets XIII. Vol. 7446 2009. 744603.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Srinivasa, G, Fickus, M & Kovacevic, J 2009, Multiresolution multiscale active mask segmentation of fluorescence microscope images. in Wavelets XIII. vol. 7446, 744603, Wavelets XIII, San Diego, CA, United States, 8/2/09. https://doi.org/10.1117/12.825776
Srinivasa, Gowri ; Fickus, Matthew ; Kovacevic, Jelena. / Multiresolution multiscale active mask segmentation of fluorescence microscope images. Wavelets XIII. Vol. 7446 2009.
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