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.

Conclusion:

Based on the Matlab software platform, we designed a set of feasible automatic detection method for the typical iris pigmentation pathological features to realize the process of extracting iris hyper pigmentation feature. Finally, the extracted feature result is marked on the iris rectangle image. Through the study of this subject, I have a deep understanding of the detection of iris pathological features.Through the learning of Matlab software for image processing and the design of GUI, thinking ability and software design capabilities have been exercised.

Download Abstract: Iris Pathological Features Detection Based on Matlab

Xin Xia, Hongqiao Zhang and Song Hua

Published under licence by IOP Publishing Ltd
Journal of Physics: Conference Series, Volume 1176, Control and Automation Engineering