A comparative study between visual, near infrared and infrared images for the detection of veins for intravenous cannulation

The process of identification and locating of veins plays an important role to reduce health care cost and suffering of patients during intravenous cannulation. This paper compares between three technologies to assess their suitability and capability for the detection of veins. Three types of cameras are used in this study, a visual camera, an infrared camera and a near infrared camera. The collected data has then been subjected to analysis and comparison using different image processing techniques, namely grayscale, invert grayscale, histogram equalisation, edge detection (difference of Gaussians) and unsharp mask enhancement to improve the visualisation of veins. In this study, the near infrared images supported by suitable LED illumination has been found to be the most effective technology and the most cost effective for the visualisation of veins.