A new multiscale line detection approach for aerial image with complex scene

Jing Wang, Takeshi Ikenaga, Satoshi Goto, Kazuo Kunieda, Makoto Iwata, Hirokazu Koizumi, Hideo Shimazu

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Straight lines are important geometric features for aerial image understanding tasks like man-made object detection. As image scene becomes more complex, traditional method like Hough Transform may produce false detections and cannot work efficiently. In this paper, we propose a new multi-scale line detection approach that can efficiently detect semantic lines in aerial image with complex scene. Firstly, a method called "Trichotomy Line Extraction" detects reliable line segments locally. Then multi-scale image system is constructed by wavelet decomposition, from which global information is obtained to detect semantic lines. Experimental results show that proposed method can extract accurate linear features on complex scene aerial images in a robust and efficient way.

本文言語English
ホスト出版物のタイトルAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
ページ1968-1971
ページ数4
DOI
出版ステータスPublished - 2006 12 1
イベントAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems - , Singapore
継続期間: 2006 12 42006 12 6

出版物シリーズ

名前IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Conference

ConferenceAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
CountrySingapore
Period06/12/406/12/6

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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