Publication:

Fast parametric snakes for 3D microscopy

Date

Date

Date
2012
Conference or Workshop Item
Published version

Citations

Citation copied

Delgado-Gonzalo, R., Chenouard, N., & Unser, M. (2012, May 5). Fast parametric snakes for 3D microscopy. IEEE International Symposium on Biomedical Imaging, Barcelona. https://doi.org/10.1109/ISBI.2012.6235682

Abstract

Abstract

Abstract

We present a new fast active contour for images in 3D microscopy. We introduce a fully parametric design that relies on exponential B-spline bases and allows us to impose a sphere-like topology. The proposed 3D snake can approximate blob-like objects with good accuracy. The optimization process is remarkably fast. Our technique yields successful segmentation results even for a challenging data set where object contours are not well defined. This happens because our parametric approach allows us to favor prior shapes. This work comes w

Additional indexing

Creators (Authors)

  • Delgado-Gonzalo, Ricard
    affiliation.icon.alt
  • Chenouard, Nicolas
    affiliation.icon.alt
  • Unser, Michael
    affiliation.icon.alt

Event Title

Event Title

Event Title
IEEE International Symposium on Biomedical Imaging

Event Location

Event Location

Event Location
Barcelona

Event Country

Event Country

Event Country
Spain

Event Start Date

Event Start Date

Event Start Date
2012-05-02

Event End Date

Event End Date

Event End Date
2012-05-05

Item Type

Item Type

Item Type
Conference or Workshop Item

In collections

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Date available

Date available

Date available
2013-06-23

OA Status

OA Status

OA Status
Green

Free Access at

Free Access at

Free Access at
Unspecified

Citations

Citation copied

Delgado-Gonzalo, R., Chenouard, N., & Unser, M. (2012, May 5). Fast parametric snakes for 3D microscopy. IEEE International Symposium on Biomedical Imaging, Barcelona. https://doi.org/10.1109/ISBI.2012.6235682

Green Open Access
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Files
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