Research of Underwater Image Segmentation Algorithm Based on the Improved Geometric Active Contour Models

In this paper, the basic theory of geometric active contour model was studied, for the degradation problems of low contrast, fuzzy and color distortion of underwater image data. Combined with the problem of underwater image degradation caused by unevenness of light and water's scattering and absorption of light, the adaptive GACV image segmentation algorithm was improved, and a mathematical model of underwater image segmentation based on the improved adaptive GACV image segmentation algorithm was established, and the underwater images were emulated. The simulation results showed that the algorithm fully segmented underwater images with low contrast and fuzzy features, which achieved the expected segmentation effect and shows good robustness.