Iris Pathological Features Detection Based on Matlab
Xin Xia, Hongqiao Zhang, Song Hua · Journal of Physics Conference Series · 2019
The region of the iris reflects the health status of human body organs. Through the detection of iris pathological features, the potential diseases of the human body can be initially detected, and the examination and treatment of related diseases can be further carried out. There are a lot of kinds of iris pathological features, but this paper mainly studies the detection of iris hyper pigmentation. First of all, the iris image is preprocessed in this paper. Then, the Otsu image segmentation algorithm and the Canny edge detection algorithm are used to realize the detection of iris hyper pigmentation. Finally, the GUI (Graphical Use Interface) of iris hyper pigmentation is designed by Matlab in this paper.