Segmentation of overlapping leucocyte images with phase detection and spiral interpolation

被引：7

作者：

Gu, Guanghua ^{[1
]}

Cui, Dong ^{[1
]}

Li, Xiaoli ^{[2
]}

机构：

[1] Yanshan Univ, Inst Informat Sci & Engn, Qinhuangdao 066004, Hebei Province, Peoples R China

[2] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Hebei Province, Peoples R China

来源：

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING | 2012年 / 15卷 / 04期

基金：

中国国家自然科学基金;

关键词：

leucocyte segmentation; overlapping cell; saturation channel; green channel; phase detection; spiral interpolation;

D O I：

10.1080/10255842.2010.539565

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Leucocyte segmentation is one of the most crucial functionalities for an automatic leucocyte recognition system. In this paper, an algorithm is proposed to segment the leucocytes from the overlapping cell images. It consists of two main steps. The first step involves generation of a combined image based on the saturation and green channels (CIBSGC) by means of the different distribution characteristics of the leucocyte nucleus. A weight coefficient is used to adjust the CIBSGC for extracting the nucleus and estimating the location of the leucocyte. Second, a method of phase detection and spiral interpolation identifies the overlapping regions of cells and determines the leucocyte edge curve. The performance is evaluated by three parameters: sensitivity, positive predictive value and pixel number error. Experimental results validate that the proposed algorithm can successfully segment the overlapping leucocyte with the satisfactory performance for two cell image datasets under different recording conditions.

引用

页码：425 / 433

页数：9

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