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The Performance Assessment of Curve Fitting Tools of Underwater Object with Glass Condition Using Stereo Vision
Current Issue
Volume 4, 2016
Issue 3 (December)
Pages: 14-17   |   Vol. 4, No. 3, December 2016   |   Follow on         
Paper in PDF Downloads: 78   Since Dec. 6, 2016 Views: 1626   Since Dec. 6, 2016
Authors
[1]
Shadi Mahmoodi Khaniabadi, School of Electrical and Electronic, University Sains Malaysia, Nibong Tebal, Pulau Pinang, Malaysia.
[2]
Ali Khalili Mobarakeh, Department of Mechanical Engineering, University of Málaga, Doctor Ortiz Ramos, Malaga, Spain.
[3]
Saba Nazari, School of Electrical and Electronic, University Sains Malaysia, Nibong Tebal, Pulau Pinang, Malaysia.
[4]
Rana Sabouni Tabari, Department of Material Science and Engineering, Sharif University of Technology, Tehran, Iran.
[5]
Azar Golshahi Porshokoh, Department of Material Science and Engineering, Sharif University of Technology, Tehran, Iran.
[6]
Abolfazl Zargari, Department of Electrical and computer Engineering, University of Oklahoma, Norman, United States.
Abstract
A growing interest in underwater applications is highlighted in this paper. Stereovision is considered as one of the best methods for distance estimation of underwater objects. The current research contains two pairs of cameras in which, they were used as a stereo image acquisition to assess the distance of underwater objects. The stereovision system in this research 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 were applied to image segmentation performance. Asa result, it will be illustrated that the curve fitting is more reliable than triangulation method to estimate the coordinates. For example, 0.2 cm of overall error with water and glass conditions while using triangulation resulted in the overall all error of around 1.5 cm.
Keywords
Range Estimation, Stereovision, Curve-Fitting Tool, Image Segmentation
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