論文
ICPアルゴリズムによる養殖設備の3次元形状からのホタテガイ検出手法
2023 年 89 巻 1 号 p. 77-82
詳細
2023 年 89 巻 1 号 p. 77-82
In scallop aquaculture, it is important to monitor the growth of scallops in the sea for growth control. In this paper, we propose a method to automatically detect scallops and determine whether they are alive or dead based on the information obtained by 3D reconstruction of scallops in the underwater from images. The scallops are detected using Sparse ICP, and multiple initial positions are set to deal with the problem of local solutions. The scallops are judged survival by defining an opening angle from the obtained scallop shell positions. The experimental results showed that the scallop detection rate was 100% for the simulation data and 81.3% for the real data. The survival rate was 76.9% for the real data. These results show that the number of samplings is three times larger than that of the previous method, showing the effectiveness of the proposed method.
