30 October 2009 A circular object detection algorithm based on horizon detection and random Hough transform
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951E (2009) https://doi.org/10.1117/12.832617
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
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Lijuan Li, Ke Liu, Xuefeng Zhang, "A circular object detection algorithm based on horizon detection and random Hough transform", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951E (30 October 2009); doi: 10.1117/12.832617; https://doi.org/10.1117/12.832617
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