@inproceedings{f104d5a9ad844ba4a73d6371a84f569a,
title = "Ultrasound Pupil Image Segmentation Based on Edge Detection and Detection Operators",
abstract = "Ultrasound imaging technology is developing rapidly and ultrasound images can provide a lot of information for doctors to diagnose. However, the same tissues and organs show large differences in edge strength in ultrasound images which may cause difficulty in segmentation and analysis. A new method is proposed in this paper, which integrates edge detection operator with our proposed detection operators. We first use canny edge detection and our proposed operators to find three points on the pupil, and then use these three points to draw a circle, which is the contour of the pupil. Such an algorithm can eliminate the effect of edge blur on ultrasound pupil segmentation. The proposed algorithm was tested on 100 ultrasound pupil images. Experimental results show its effectiveness for ultrsound pupil image segmentation.",
keywords = "Image segmentation, detection operators, edge detection, ultrasound pupil images",
author = "Yunyun Yang and Chong Feng and Ruofan Wang",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 12th International Conference on Machine Learning and Computing, ICMLC 2020 ; Conference date: 15-02-2020 Through 17-02-2020",
year = "2020",
month = feb,
day = "15",
doi = "10.1145/3383972.3384045",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "271--275",
booktitle = "Proceedings of the 2020 12th International Conference on Machine Learning and Computing, ICMLC 2020",
address = "美国",
}