By Topic

A fast band selection method to increase image contrast for multispectral image segmentation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Xuqing Wu ; Dept. of Comput. Sci., Univ. of Houston, Houston, TX, USA ; Shah, S.K.

Multispectral microscopy for applications in histology and cytology has attracted much attention in recent years. It has been shown that the unique transmission spectra of biological tissue provides additional information that is potentially useful for better classification of the pathologies. However, irrelevant features in multispectral data may affect results and performance of data analysis methods. In this paper, a fast band selection method is proposed to increase the contrast-to-noise ratio such that relevant information is maximized while reducing the number of spectral bands. The new method obtains an optimal selection of bands by solving a specific objective function with low computational costs. A thresholding criterion is developed to decide on the number of bands to be selected.

Published in:

Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on

Date of Conference:

June 28 2009-July 1 2009