Genetic algorithm based bubble matching and tracking in aerated water flows

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.