Share Email Print
cover

Proceedings Paper

A circular object detection algorithm based on horizon detection and random Hough transform
Author(s): Lijuan Li; Ke Liu; Xuefeng Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Low signal-noise-ratio(SNR) target detection is a difficult task in ATR. In this article, a small and weak circular object detection algorithm for forward looking usage is proposed. Firstly the horizon is detected through using the edge operator and large scales of clutters below the horizon are excluded. Then Hough transform based on edge tracing is applied to detect the circular object. The algorithm can be realized in DSP hardware platform in real time, and high acquisition probability is got in tests and experiments.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951E (30 October 2009); doi: 10.1117/12.832617
Show Author Affiliations
Lijuan Li, Luoyang Opto-Electro Technology Development Ctr. (China)
Ke Liu, Luoyang Opto-Electro Technology Development Ctr. (China)
Xuefeng Zhang, Luoyang Opto-Electro Technology Development Ctr. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

© SPIE. Terms of Use
Back to Top