Title :
Genetic algorithm based bubble matching and tracking in aerated water flows
Author :
Qian, Xueming ; Zhu, Hong ; Yu, XiangYang ; Chen, Gang
Author_Institution :
Sch. of Autom., Xi´´an Univ. of Technol., China
Abstract :
In order to measure bubble characteristic parameters in the aerated water flows, a genetic algorithm (GA) and motion estimation based bubbles matching and tracking method is proposed. Because of considerable bubbles in each frame of the image sequences, the complex motion and the similarity of bubbles in size, shape and color in the flow field, the features based methods fell into inefficiency and could not solve the matching problem of bubbles. The presented method is very competent for solving the above problems and also efficient in accurately tracking the bubbles when whole kinetic occlusion happened.
Keywords :
bubbles; genetic algorithms; image colour analysis; image matching; image sequences; motion estimation; tracking; GA; aerated water flows; bubble characteristic parameters; bubble matching; bubble tracking; feature based methods; genetic algorithm; image sequences; kinetic occlusion; motion estimation; Automation; Equations; Genetic algorithms; Image analysis; Image sequences; Kinetic theory; Motion estimation; Motion measurement; Tracking; Water conservation;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341965
