NDLI: Subimage Cosegmentation in a Single White Blood Cell Image

Content Provider	IEEE Xplore Digital Library
Author	Rong Chu Xiaoqin Zeng Lixin Han Min Wang
Copyright Year	2015
Description	Author affiliation: Coll. of Comput. & Inf., Hohai Univ., Nanjing, China (Rong Chu; Xiaoqin Zeng; Lixin Han; Min Wang)
Abstract	As one of the most basic and key steps in the white blood cell (WBC) automatic recognition system, the accuracy and stability of WBC segmentation greatly affect the recognition accuracy of the whole system. Inspired by co segmentation, this paper presents a new method to obtain the entire WBC contour in order to solve the adhesion problem. Firstly, the color space transformation and thresholding are employed to obtain sub images. Among them, a sub image called reference image only includes plasma and red blood cells (RBCs), while the others contain WBCs. Then, a similarity measurement is introduced into the region-based active contour model in order to co segment between the reference image and the other sub images. Due to full use of cross information, such as color and shape, the proposed method has been successfully applied to a large number of microscopic cell images, showing promising segmentation results for diverse cell appearance and image quality.
Starting Page	152
Ending Page	157
File Size	241563
Page Count	6
File Format	PDF
e-ISBN	9781467370165
DOI	10.1109/CICSyN.2015.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-03
Publisher Place	Latvia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deformable models White blood cells Region-based active contour model Image segmentation Accuracy Image color analysis Microscopy Cosegmentation White blood cell Active contours
Content Type	Text
Resource Type	Article

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