Real Time NIR Imaging Image Enhancement by using 2D Frangi Filter via Segmentation

• Main Author: Lee , Sheng Siang
• Format: Final Year Project
• Language: English
• Published: IRC 2014
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://utpedia.utp.edu.my/14832/1/dissertation%20-%20lee%20sheng%20siang%20-%2017110.pdf; http://utpedia.utp.edu.my/14832/

This paper presents the NIR imaging images enhancement by using 2D Frangi Filter segmentation which specifically apply in biomedical NIR vein localization imaging. The unseen subcutaneous vein causing clinical practitioner face the difficulties to perform intravenous catheterization and thus lead to the needles tick injuries. There are few imaging techniques which can be used for bein localization but the most widely used is Near Infrared (NIR) imaging due to its non-invasive and non-ionizing properties. The input images from NIR imaging setup is processed in order to enhance the vein visibility and contrast between vein and skin tissue. It is required to filter noise from the display image using some image processing technique. This work is done by applying image segmentation method to NIR venous image in order to extract veins and eliminate the noise. First, the gray scale image was segmented to 10 pieces of fragment plane with constant step size to produce 3 set of 2D planes. Second, these 3 sets of 2D planes will then apply in Frangi filter in order to obtain the eigenvalue image structure. Lastly, a least noise image is produce by this integrated plane through the 2D Frangi filter.