Browse > Article
http://dx.doi.org/10.5391/JKIIS.2012.22.5.610

Object Detection Method in Sea Environment Using Fast Region Merge Algorithm  

Jeong, Jong-Myeon (목포해양대학교 해양컴퓨터공학과)
Park, Gyei-Kark (목포해양대학교 국제해사수송과학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.22, no.5, 2012 , pp. 610-616 More about this Journal
Abstract
In this paper, we present a method to detect an object such as ship, rock and buoy from sea IR image for the safety navigation. To this end, we do the image smoothing first and the apply watershed algorithm to segment image into subregions. Since watershed algorithm almost always produces over-segmented regions, it requires posterior merging process to get meaningful segmented regions. We propose an efficient merger algorithm that requires only two times of direct access to the pixels regardless of the number of regions. Also by analyzing IR image obtained from sea environments, we could find out that most horizontal edge come out from object regions. For the given input IR image we extract horizontal edge and eliminate isolated edges produced from background and noises by adopting morphological operator. Among the segmented regions, the regions that have horizontal edges are extracted as final results. Experimental results show the adequacy of the proposed method.
Keywords
Safety navigation; object extraction; IR image; image segmentation; region merger;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 D. FaulKemer, Shipping Safety, Ingenia, 2003.
2 Dong Jin Kim, and Su Yong Kwak, "Evaluation of Human Factors in Ship Accedents in the Domestic Sea," Journal of the Ergonomics Society of Korea, vol. 30, no. 1, pp. 87-98, 2011.   DOI   ScienceOn
3 A. Toffoli, J. M. Lefevra, E. Bitner-Gregersen, and J. Monbaliu, "Toward the Identification of Warning Criteria: Analysis of a Ship Accident Database," Journal of Applied Ocean Research, vol. 27, pp. 281-291, 2005.   DOI
4 A. Toffoli, J. M. Lefevra, E. Bitner-Gregersen, J. Monbaliu, "Towards the identification of warning criteria : Analysis of a ship accident database," Journal of applied ocean research vol. 27, pp. 281-291, 2005.   DOI
5 S. Gaarder, K. Rongstad, M. Olofsson, "Impact of human elements in marine risk management," Guedes Soares C., Advances in safety and reliability, pp. 857-898, Pergamon, 1997.
6 V. E, Vicker, "Plateu equalization algorithm for real- time display of high-quality infrared imagery," Optical engineering, vol. 35, no. 7, pp. 1921-1926, July 1996.   DOI
7 Q. Chen et al, "An efficient approach to extraction ROI from infrared image sequence," Proc. of SPIE Advances in infrared imaging and application, vol. 7383, 738345-1, doi:10.1117/12.835140, June 2009.   DOI
8 K. Brunstrom et al, "Object detection in cluttered infrared images," Optical engineering, vol. 42, no. 2, pp. 388-399, February 2003.   DOI
9 J. Jeong and K. Park, "Object detection algorithm using edge information on the sea environment," Journal of the Korea Society of Computer and Information, vol. 16, no. 9, pp. 69-76, 2011.   DOI
10 Richard E. Woods, Rafael C. Gonzalez, Digital Image Processing Third Edition, Pearson Education International, 2010.
11 Fernand Meyer, "An algorithm optimal pour la ligne de partage des eaux.," Dans 8me congres de reconnaissance des formes et intelligence artificielle, vol. 2, pp. 847-857, Lyon, France, 1991.
12 S.W. Lu and H. Xu, "Textured image segmentation using autoregressive model and artificial neural network," Pattern Recognition, vol. 28, no. 12, pp. 1807-1817, 1995.   DOI