Automated ovarian follicle segmentation using region growing

被引：15

作者：

Potocnik, B ^{[1
]}

Zazula, D ^{[1
]}

机构：

[1] Univ Maribor, Fac Elect Engn & Comp Sci, SLO-2000 Maribor, Slovenia

来源：

IWISPA 2000: PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS | 2000年

关键词：

region growing; weighted gradient; ovarian follicle segmentation; ultrasound;

D O I：

10.1109/ISPA.2000.914907

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

An improved algorithm for ovarian follicle detection in ultrasound images is presented. This fully automated recognition algorithm is composed of three successive steps. First, initial homogeneous regions are determined. Then, these initial regions are grown. Growing is controlled by average grey-level and by a newly introduced weighted gradient of the image. In the last step, the regions that are probably follicles are extracted. The algorithm has been tested on 50 ovarian ultrasound images. The recognition rate of follicles was around 88 %.

引用

页码：157 / 162

页数：6

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