@inproceedings{1a10759276494196a917b093cc0293c1,
title = "Rough Waypoint Extraction Algorithm Based on Mean Shift Clustering Saliency Analysis",
abstract = "This paper studies the problem of rough extraction of salient waypoints for UAV scene matching navigation, and a saliency analysis algorithm based on mean shift clustering is researched. The input image is preprocessed by color space conversion and Gaussian low-pass filtering. Mean-shift clustering is used to divide the image into sub-regions as the basic unit for candidate waypoint extraction. The Euclidean distance between the pixel color value and the average color value of the full image is used to represent the saliency. The sub-regions with high saliency value in the image are extracted as candidate waypoints.",
keywords = "Scene matching navigation, mean-shift clustering, saliency analysis, waypoint",
author = "Yuzhu Chen and Qingzhong Jia and Yong Zhao",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 4th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020 ; Conference date: 12-06-2020 Through 14-06-2020",
year = "2020",
month = jun,
doi = "10.1109/ITNEC48623.2020.9084757",
language = "English",
series = "Proceedings of 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1345--1349",
editor = "Bing Xu and Kefen Mou",
booktitle = "Proceedings of 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020",
address = "United States",
}
