Share Email Print
cover

Proceedings Paper

A real-time location algorithm for critical points based on TMS320C6678
Author(s): Hanyu Hong; Huiyuan Chen
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper analyzes the importance of real-time identification of key parts of non-cooperative targets in military applications, and proposes the shortcomings of current target detection algorithms, and a real-time localization algorithm for target points based on TMS320C6678 parallel processing. The algorithm firstly locates the approximate position of the target by down sampling and horizontal vertical projection of the original image, then locates the target key points by polar coordinate transformation and target edge curvature solution, and combines the multi-core of TMS320C6678 DSP to optimize the algorithm. Finally, the algorithm is parallel optimized on the TMS320C6678 multi-core DSP hardware platform, which can accurately locate the target parts within 5ms.

Paper Details

Date Published: 14 February 2020
PDF: 6 pages
Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 114290K (14 February 2020); doi: 10.1117/12.2538187
Show Author Affiliations
Hanyu Hong, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Engineering Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)
Huiyuan Chen, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Engineering Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 11429:
MIPPR 2019: Automatic Target Recognition and Navigation
Jianguo Liu; Hanyu Hong; Xia Hua, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray