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The Performance Evaluation of Two Different Distance Estimation Tools Under Unclean Water Using Stereo Vision
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Volume 5, 2017
Issue 1 (February)
Pages: 1-4   |   Vol. 5, No. 1, February 2017   |   Follow on         
Paper in PDF Downloads: 34   Since Aug. 17, 2017 Views: 1229   Since Aug. 17, 2017
Shadi Mahmoodi Khaniabadi, School of Electrical and Electronic, University Sains Malaysia, Nibong Tebal, Pulau Pinang, Malaysia.
Ali Khalili Mobarakeh, Department of Mechanical Engineering, University of Málaga, Doctor Ortiz Ramos, Malaga, Spain.
Saba Nazari, School of Electrical and Electronic, University Sains Malaysia, Nibong Tebal, Pulau Pinang, Malaysia.
Abolfazl Zargari, Department of Electrical and computer Engineering, University of Oklahoma, Norman, United States.
Stereo vision is one of the best methods for distance estimation of underwater object. In this research two pairs of cameras were used as stereo image acquisition to estimate the distance of underwater object. The stereo vision system in this project consists of calibration of camera, rectification of images, segmentation of images, finding of centroid and localization of object. Edge-based segmentation, Mathematical morphology and largest area selection are used to perform image segmentation. As a result, it is proved that the curve fitting tools method is more dependable than triangulation method to evaluate the coordinates. The final experiment results illustrate that the overall error of curve fitting tools method in the unclean (muddy) water conditions is 0.2 cm, while by using triangulation in the same condition is around 1.5cm.
Stereo Vision, Under Water Range Estimation, Image Segmentation, Curve Fitting Tool
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