Pupil and iris detection in dynamic pupillometry using the OpenCV library
Leandro Schwarz, Humberto Remigio Gamba, Fabio Cabral Pacheco, Rodrigo Belisario Ramos, Miguel Antônio Sovierzoski · 2012
The aim of this work is to describe a computer system to detect and measure the pupil and iris size with applications to dynamic pupillometry. The system was written using the OpenCV library to perform the real time video processing. The frames are captured in grayscale and processed using normalization and threshold techniques to enhance the image, and then, the Hough Transformation is used to detect the iris and the Greedy Snakes Algorithm is used to detect the pupil.