Ant Colony Optimization for Phase Change Image Sequences Segementation

Ant colony optimization (ACO) based phase change image sequences segmentation algorithm is presented. In the algorithm, phase change image sequences are changed into multiple associated sub-image by region division which includes the moving information of the moving contour. An ACO for image segmentation based on active contour model is proposed for sub-image segmentation, which converts image segmentation to a problem of searching for the best path in a constrained region. The segmentation results of sub-images are converted into the phase change contour. The experiment results show that the algorithm extracts the phase change active contour well