Visual vein segmentation for an intravenous injection support system

Adiljan Yimit, Motoki Takagi, Yukari Hagihara, Tasuku Miyoshi, Yoshihiro Hagihara

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

In the medical field, one of the most frequently performed medical practice is intravenous injection and it is also a significant factor to increase the workload of medical physicians. Recently, many support systems have been developed to give better injection and to reduce the workload. However, most of them are large-scaled and expensive. To deal with this problem we have been engaged in developing a low-cost injection support system by using a USB camera and robot. This paper presents a vein segmentation method for this system. In this method, an emphasizing process is firstly described to accentuate visual veins by focusing on the red component of the color image. Then, after thresholding a number of randomly selected sub-images with different sizes, the visual veins are obtained by aggregating those thresholded sub-images into a continuous segmented image by majority vote. The performance of the proposed method is demonstrated by making experiments with 15 subjects' vein images.

Original languageEnglish
Pages2290-2295
Number of pages6
Publication statusPublished - 2013 Jan 1
Externally publishedYes
Event2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan
Duration: 2013 Sept 142013 Sept 17

Other

Other2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013
Country/TerritoryJapan
CityNagoya
Period13/9/1413/9/17

Keywords

  • Image processing
  • Intravenous injection
  • Medical system
  • Vein segmentation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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