THREE DIMENSIONAL SEGMENTATION OF FLUORESCENCE MICROSCOPY IMAGES USING ACTIVE SURFACES

被引：0

作者：

Lorenz, Kevin S. ^{[1
]}

Salama, Paul ^{[2
]}

Dunn, Kenneth W. ^{[3
]}

Delp, Edward J. ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, Video & Image Proc Lab, W Lafayette, IN 47907 USA

[2] Indiana Univ, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA

[3] Indiana Univ Sch Med, Div Nephrol, Indianapolis, IN 46202 USA

来源：

2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) | 2013年

关键词：

image segmentation; biomedical optical imaging; optical microscopy; LEVEL SET FRAMEWORK; CONTOURS; MODEL; GRADIENT; CELLS; EDGES;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

Three dimensional image volumes collected using optical microscopy exhibit many characteristics that cause difficulty in segmentation. These include decreasing image contrast with increasing tissue depth, poor edge detail with regard to cellular structures, and limited spatial resolution. This paper describes a three dimensional segmentation method utilizing active surfaces to segment microscopy image volumes. We demonstrate this method on a three dimensional sequence of images acquired from stationary/stabilized kidney tissue of a rat. Results from this method are compared against a prior pseudo-three dimensional segmentation method that analyzes slices on a single image-by-image basis, as well as against another native three dimensional segmentation method.

引用

页码：1153 / 1157

页数：5

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