Rough Waypoint Extraction Algorithm Based on Mean Shift Clustering Saliency Analysis

被引：0
|
作者：
Chen, Yuzhu [1 ]
Jia, Qingzhong [1 ]
Zhao, Yong [2 ]
机构：
[1] Beijing Inst Technol Univ, Sch Aerosp Engn, Beijing, Peoples R China
[2] Armament Dept PLA Air Force, Mil Representat Off Harbin 3, Harbin, Peoples R China
来源：
PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020) | 2020年
关键词：
Scene matching navigation; saliency analysis; mean-shift clustering; waypoint;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1345 / 1349
页数：5
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