A Real-Time Vein Imaging System Using
Image Processing Algorithms On Images Obtained From A Standard Smartphone Camera

Chaitanya & Geeve George

Chaitanya & Geeve George
Little Rock Indian School, Udupi, Karnataka
Title: Smartphone Aided Multispectral Imaging System
Vein imaging systems have been used in the medical industry for many years. Most of them worked by using the Near Infrared Imaging technique, but using such a technique made the devices expensive, bulky, and out of the reach of the common people.
We have developed a low cost, smartphone based vein imaging system that relies on multispectral imaging instead. We have tested different image processing techniques ranging from thresholding to Fourier transforms and determined that simple RGB channel mixing revealed the most venous details in an image of the user hand.
To implement this on a smartphone we had to focus on providing the right lighting conditions when capturing an image of the user arm. As a first step, we tested various light sources and measured their brightness and concluded that brighter sources of light helped us obtain better images for processing. Next, we used an RGB image captured by a smartphone, from which the Red, Green, and Blue color channels are used as the individual spectral frames in the multispectral image. We then built a software to process these details to reveal the veins present in the image of the user’s hand. Through this technique we were able to generate images which better highlighted veins in the user hand.