Application of An Novel Image Matching Algorithm in Vision Guided AUV Docking
XING Qinglong
WANG Xiaoning
Abstract：Accoding to the image characters in the process of vision guided Autonomous Underwater Vehicle(AUV) docking ,an image matching algirithm based on quanta particle swarm optimization and grey relational analysis is proposed . The algirithm suggested which combines the speediness of quanta particle swarm optimization and the robustness of the grey relational analysis is not sensitive to the changes including rotation ,translation ,brightness change and so on ,so it fits the need of vision guided docking .The grey absolute correlative degree of the image gray histogram is used as fitness function , and the image matching algorithm based on quanta particle swarm optimization is introduced in detail .Using images from tank test ,experimental results are presented to demonstrate that the proposed algorithm can be applied in AUV vision guided docking .
Keywords：image matchingautonomous underwater vehicle dockingvision guidedquanta particle swarm optimiza-tiongrey absolute correlative degree
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 65-70 )