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To conserve and manage fish stocks in fisheries, people monitor the growth and quantities of fish by collected underwater videos and images. However, the efficiency of finding fish from videos and images is limited by manual operation. In this paper, we propose an automatic method to improve the efficiency of finding fish by shape matching. In our method, a segmentation method, Segmentation by Aggregating...
Underwater object detection and segmentation has been attracting a lot of interest, and recently various systems have been designed. In this paper, we introduce a novel technique to automatically detect and segment objects from underwater images via saliency-based region merging. The method is composed of three main steps. Firstly, a salient object detection model is used to detect the position of...
Chaetoceros is one of the largest marine genus of phytoplankton and plays an important role in ocean ecosystem and global climate. Automatic segmentation of Chaetoceros is a challenging task due to the species' biomorphic characteristics. In this paper, we present a novel method using pixel-wise classification by Support Vector Machine (SVM) [1] combined with Grayscale Surface Direction Angle Model...
Underwater image segmentation is a key step for the analysis of the underwater target as segmentation quality will directly affect the stability and reliability of target recognition and tracking. A novel segmentation method is proposed in this paper that can help to solve the edge expansion and contour deformation problems in traditional segmentation methods. Firstly, the dark channel prior algorithm...
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