0

Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Segmentation of electron microscopy images through Gabor texture descriptors

[+] Author Affiliations
Rafael Fonolla Navarro, Oscar Nestares

Consejo Superior de Investigaciones Cientificas (Spain)

Proc. SPIE 2666, Image and Video Processing IV, 64 (March 13, 1996); doi:10.1117/12.234747
Text Size: A A A
From Conference Volume 2666

  • Image and Video Processing IV
  • Robert L. Stevenson; M. Ibrahim Sezan
  • San Jose, CA | January 28, 1996

abstract

We have developed a robust method for image segmentation based on a local multiscale texture description. We first apply a set of 4 by 4 complex Gabor filters, plus a low-pass residual (LPR), producing a log-polar sampling of the frequency domain. Contrary to other analysis methods, our Gabor scheme produces a visually complete multipurpose representation of the image, so that it can also be applied to coding, synthesis, etc. Our sixteen texture features consist of local contrast descriptors, obtained by dividing the modulus of the response of the complex Gabor filter by that of the LPR at each location. Contrast descriptors are basically independent of slow variations in intensity, while increasing the robustness and invariance of the representation. Before applying the segmentation algorithm, we equalize the number of samples of the four layers in the resulting pyramid of local contrast descriptors. This method has been applied to segmentation of electron microscopy images, obtaining very good results in this real case, where robustness is a basic requirement, because intensity, textures and other factors are not completely homogeneous.

© (1996) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Rafael Fonolla Navarro and Oscar Nestares
"Segmentation of electron microscopy images through Gabor texture descriptors", Proc. SPIE 2666, Image and Video Processing IV, 64 (March 13, 1996); doi:10.1117/12.234747; http://dx.doi.org/10.1117/12.234747


Access This Article
Sign In to Access Full Content
Please Wait... Processing your request... Please Wait.
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
 

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement


Buy this article ($18 for members, $25 for non-members).
Sign In