An Effective Approach Towards Color Image Segmentation for Micro-Vessel Detection Conference Paper

abstract

• In this paper, we propose an effective approach towards color image segmentation for micro-vessel detection in the virtual slide of double stained liver tissue. The contribution of the proposed method lies in three aspects. First, the dominant colors of white/gray, blue, red and brown are modeled in the RGB color space. Second, the CART (classification and regress tree) method is implemented to segment the modeled colors. Third, the micro-vessel regions are identified in the color images based on the association of both red and brown pixels. Extensive experiments are carried out to validate the performance of the proposed approach. The experimental results demonstrate that our method is quite promising. 2012 IEEE.

name of conference

• 2012 International Conference on Computational Problem-Solving (ICCP)

authors

• Mete, Mutlu

published proceedings

• 2012 International Conference on Computational Problem-Solving (ICCP)

author list (cited authors)

• Chen, J., Wen, Q., Pang, Z., & Mete, M.

citation count

• 0

complete list of authors

• Chen, Juan||Wen, Quan||Pang, Zhifei||Mete, Mutlu

publication date

• October 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/iccps.2012.6384283

International Standard Book Number (ISBN) 13

• 9781467316972

start page

• 59

end page

• 63

volume

• 1

URL

• http://dx.doi.org/10.1109/iccps.2012.6384283