COLOR REGION ANNOTATION FOR MICROVESSEL DENSITY ESTIMATION Conference Paper

abstract

• In this paper, we proposed a method for microvessel density estimation based on color region annotation. First, the pericytes and endothelial cells of the microvessel are modeled in the RGB color space by minimum error thresholding. Second, the connected component labeling method is used to extract microvessels in the neighboring red and brown color regions. Third, the microvessel density is estimated by the number of detected endothelial pixels in the image. Finally, the discrimination ability of the number of endothelial cells and the color contrast of microvessel is validated on the classification of both positive and negative images. The experimental results demonstrate that the proposed method is quite promising. 2012 IEEE.

name of conference

• 2012 International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP)

authors

• Mete, Mutlu

published proceedings

• 2012 INTERNATIONAL CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (LCWAMTIP)

author list (cited authors)

• Mete, M., Chen, J., Wen, Q., & Liu, X.

citation count

• 0

complete list of authors

• Mete, Mutlu||Chen, Juan||Wen, Quan||Liu, Xi-Wen

publication date

• December 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Color Region
• Connected Component Labeling
• Microvessel Density
• Minimum Error Thresholding

Digital Object Identifier (DOI)

• 10.1109/icwamtip.2012.6413460

International Standard Book Number (ISBN) 13

• 978-1-4673-4685-6

start page

• 145

end page

• 148

URL

• http://dx.doi.org/10.1109/icwamtip.2012.6413460