Boundary segmentation for fluorescence microscopy using steerable filters

David Joon Ho; Paul Salama; Kenneth W. Dunn; Edward J. Delp III

doi:10.1117/12.2254627

24 February 2017 Boundary segmentation for fluorescence microscopy using steerable filters

David Joon Ho, Paul Salama, Kenneth W. Dunn, Edward J. Delp III

Proceedings Volume 10133, Medical Imaging 2017: Image Processing; 101330E (2017) https://doi.org/10.1117/12.2254627
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Fluorescence microscopy is used to image multiple subcellular structures in living cells which are not readily observed using conventional optical microscopy. Moreover, two-photon microscopy is widely used to image structures deeper in tissue. Recent advancement in fluorescence microscopy has enabled the generation of large data sets of images at different depths, times, and spectral channels. Thus, automatic object segmentation is necessary since manual segmentation would be inefficient and biased. However, automatic segmentation is still a challenging problem as regions of interest may not have well defined boundaries as well as non-uniform pixel intensities. This paper describes a method for segmenting tubular structures in fluorescence microscopy images of rat kidney and liver samples using adaptive histogram equalization, foreground/background segmentation, steerable filters to capture directional tendencies, and connected-component analysis. The results from several data sets demonstrate that our method can segment tubular boundaries successfully. Moreover, our method has better performance when compared to other popular image segmentation methods when using ground truth data obtained via manual segmentation.

Conference Presentation

Citation Download Citation

David Joon Ho, Paul Salama, Kenneth W. Dunn, and Edward J. Delp III "Boundary segmentation for fluorescence microscopy using steerable filters", Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101330E (24 February 2017); https://doi.org/10.1117/12.2254627

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available