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Proceedings Paper

Underwater cable automatic recognition using Hough transformation
Author(s): Chao Chen; Masayuki Nakajima
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Paper Abstract

In this paper, we make an attempt to predict the location of a cable in next frame according to some parameters in current frame. At first, the initial condition is that the approximate location of cable must be given. From Hough Transformation, a high accumulated degree point in Hough Space is gotten. Afterwards, by inverse Hough Transformation, using that point, the location is detected and then cable is pointed out from its original image. Based on actual working conditions and performance indices, as well as the location in current frame, the maximum range of degree within which the cable may occur in next frame with high possibility is evaluated. Furthermore, a narrow range of location in next frame is confirmed according to the speed of robot. It is this narrow range that reduces the influence of the background on the detected object to the least. Therefore, the location of cable can be detected more accurately. Still more, as the final target of this project, an approach to detect the dangerous status of Cable is shown. In this approach, we want to distinguish the predict area into three parts with a simple area partition. By means of time sequence, the relative changes on the size of area which is between shadow and cable can conclude whether the cable is suspended in water.

Paper Details

Date Published: 27 March 1995
PDF: 12 pages
Proc. SPIE 2423, Machine Vision Applications in Industrial Inspection III, (27 March 1995); doi: 10.1117/12.205529
Show Author Affiliations
Chao Chen, Tokyo Institute of Technology (Japan)
Masayuki Nakajima, Tokyo Institute of Technology (Japan)

Published in SPIE Proceedings Vol. 2423:
Machine Vision Applications in Industrial Inspection III
Frederick Y. Wu; Stephen S. Wilson, Editor(s)

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