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Proceedings Paper

An automatic and effective approach in identifying tower cranes
Author(s): Bo Yu; Zheng Niu; Li Wang; Yaqi Liu
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Paper Abstract

A method which can distinguish tower cranes from other objects in an image is proposed in this paper. It synthesizes the advantages of both morphological theory and geometrical characters to identify tower cranes accurately. The algorithm uses morphological theory to remove noise and segment images. Moreover, geometrical characters are adopted to extract tower cranes with thresholds. To test the algorithm's practical applicability, we apply it to another image to check the result. The experiments show that the approach can locate the position of tower cranes precisely and calculate the number of cranes at 100% accuracy rate. It can be applied to identifying tower cranes in small regions.

Paper Details

Date Published: 2 June 2012
PDF: 7 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83340A (2 June 2012); doi: 10.1117/12.946016
Show Author Affiliations
Bo Yu, Institute of Remote Sensing Applications (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Zheng Niu, Institute of Remote Sensing Applications (China)
Li Wang, Institute of Remote Sensing Applications (China)
Yaqi Liu, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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