中国组织工程研究

中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (39): 7343-7346.doi: 10.3969/j.issn.1673-8225.2011.39.031

• 数字化骨科 digital orthopedics • 上一篇    下一篇

医院急诊病房监护中彩色图像分割技术的应用

刘  丹   

  1. 南方医科大学生物医学工程学院，广东省广州市510515
  • 收稿日期:2011-04-26 修回日期:2011-06-09 出版日期:2011-09-24 发布日期:2011-09-24
  • 作者简介:刘丹★，女，1983年生，湖北省宜昌市人，汉族，2008年广东工业大学毕业，硕士，讲师，主要从事医学图像处理方面的研究。 rosemary.liu@163.com
  • 基金资助:

    广州市科技支撑重点项目分题(2009Z1-E341-1)。

Color segmentation method for monitoring devices in hospital emergency wards

Liu Dan   

  1. Department of Biomedical Engineering, South Medical University, Guangzhou  510515, Guangdong Province, China
  • Received:2011-04-26 Revised:2011-06-09 Online:2011-09-24 Published:2011-09-24
  • About author:Liu Dan★, Master, Lecturer, Department of Biomedical Engineering, South Medical University, Guangzhou 510515, Guangdong Province, China rosemary.liu@163.com
  • Supported by:

    Guangzhou Science and Technology Supporting Program, No. 2009Z1-E341-1*

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摘要：

背景：传统的急诊病房监护设备识别系统已经落后，不能很好的满足现代急诊监护的需求。
目的：提出一种新的应用在医院急诊病房监护设备中的彩色分割技术，将传统的急诊病房监护设备识别系统中加入彩色图像分割的新方法，改善以往的仪表识别系统。
方法：在HSI空间中，利用直方图和色差分析，设定阈值直接提取所需刻度区域。
结果与结论：该方法充分利用了仪表的彩色信息，速度快，效果好，错误率小，适合医院急诊病房监护设备的识别分析。

关键词: 急诊监护, 彩色分割, 直方图, 色差, 数字化医学

Abstract:

BACKGROUND: Along with the development of science and technology, the traditional emergency wards monitoring equipment identification system is gradually backward; it does not meet the emergency care needs very well.
OBJECTIVE: To propose a new color segmentation method for monitoring devices used in hospital emergency, and to improve the previous instrument identification system by adding a new color image segmentation method to the traditional instrument recognition system for monitoring devices.
METHODS: The appropriate threshold was used to get the right scale part directly, by histogram and chromatic aberration analysis in HSI space.
RESULTS AND CONCLUSION: Through a great deal of experiments, this method fully uses the color information, its speed is quick, effect is good, and error rate is very small. It is very suitable to apply in the hospital emergency medical treatment ward guardianship equipment's recognition analysis.

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