An Underwater Optical Image Segmentation Algorithm Based on Fuzzy C-means Model

摘要

In the process of underwater light propagation, the distortion of light varies with wavelength. The three main causes of underwater visual quality degradation are absorption, scattering and color distortion which will bring low contrast, blurring. In order to guarantee the quality of segmentation in fast image segmentation, a segmentation algorithm based on FCM clustering of underwater images, and on the basis of effective evaluation index of underwater image segmentation and fuzzy partition,. Experimental results show that this algorithm can achieve better segmentation quality and time efficiency.