Research on U-Net based Underwater Holothurian Recognition Method

Abstract

Holothurians can integrate into nearby environment by changing body color which increased the difficulty of version identification. A U-Net network based visual recognition algorithm suitable for underwater organisms was proposed. The backbone feature extraction network adopted VGG16. In additional, upper sampling was used twice for feature fusion. Test results shown that the algorithm has high recognition accuracy and good feature extraction for holothurian with different shapes in natural environment.