College of Transportation, Shandong University of Science and Technology, Qingdao, 266590, China.
College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
Sci Rep. 2022 Jun 4;12(1):9318. doi: 10.1038/s41598-022-13075-7.
The volume detection of medical mice feed is crucial to understand the food intake requirements of mice at different growth stages and to grasp their growth, development, and health status. Aiming at the problem of volume calculation in the way of feed bulk in mice, a method for detecting the bulk volume of feed in mice based on binocular stereo vision was proposed. Firstly, the three-dimensional point coordinates of the feed's surface were calculated using the binocular stereo vision three-dimensional reconstruction technology. The coordinates of these dense points formed a point cloud, and then the projection method was used to calculate the volume of the point cloud; and finally, the volume of the mice feed was obtained. We use the stereo matching data set provided by the Middlebury evaluation platform to conduct experimental verification. The results show that our method effectively improves the matching degree of stereo matching and makes the three-dimensional point coordinates of the obtained feed's surface more accurate. The point cloud is then denoised and Delaunay triangulated, and the volume of the tetrahedron obtained after the triangulation is calculated and summed to obtain the total volume. We used different sizes of wood instead of feed for multiple volume calculations, and the average error between the calculated volume and the real volume was 7.12%. The experimental results show that the volume of the remaining feed of mice can be calculated by binocular stereo vision.
医学小鼠饲料的体积检测对于了解不同生长阶段小鼠的食物摄入量需求以及掌握其生长、发育和健康状况至关重要。针对小鼠饲料散装体积计算的问题，提出了一种基于双目立体视觉的小鼠饲料散装体积检测方法。首先，利用双目立体视觉三维重建技术计算饲料表面的三维点坐标。这些密集点的坐标形成一个点云，然后使用投影法计算点云的体积；最后，得到小鼠饲料的体积。我们使用 Middlebury 评估平台提供的立体匹配数据集进行实验验证。结果表明，我们的方法有效地提高了立体匹配的匹配程度，使获得的饲料表面的三维点坐标更加准确。然后对点云进行去噪和 Delaunay 三角剖分，计算并累加三角剖分后得到的四面体的体积，从而得到总体积。我们使用不同大小的木块代替饲料进行多次体积计算，计算体积与真实体积的平均误差为 7.12%。实验结果表明，双目立体视觉可用于计算剩余的小鼠饲料体积。
