渔业现代化2024，Vol.51Issue(6)：69-79,11.DOI:10.3969/j.issn.1007-9580.2024.06.008
一种基于视觉的鱼苗体长快速非接触测量方法
A vision-based method for rapid non-contact measurement of fish length
摘要
Abstract
It's crucial to obtain the dimensions of fish fry accurately and quickly in aquaculture.Traditional manual sampling and measurement are time-consuming and labor-intensive and cannot meet the demands of smart aquaculture development.A vision-based method for rapid measurement of fish length is proposed for grass carp fry with length distribution from 20 to 100 mm in this paper.It allows for quick and accurate length measurement of test fish fry without reference and in a non-contact manner.Firstly,an RGB-D camera is used to capture depth information and gray images of the target.Those images are processed to segment the target fish from the background.For the case of overlapping fish,concave regions and points are extracted to separate individual fish based on concave points.An improved thinning algorithm is then used to extract the fish skeleton,and key skeleton points are selected.Finally,by combining the image depth information,the three-dimensional coordinates of the skeleton points are transformed,allowing for the accurate measurement of the total length of the fish fry.Experimental result shows that the proposed method achieves an average absolute error of 1.57 mm and an average relative error of 4.39%in the length measurement of the test fish.It provides a non-contact measurement method that supports applications such as graded feeding and intelligent feeding in the aquaculture industry.关键词
鱼苗分级/视觉测量/粘连分割/细化算法/深度信息Key words
fish fry grading/visual measurement/adhesion segmentation/thinning algorithm/depth information分类
农业科技引用本文复制引用
马志艳,吴佳俊,周明刚,张淑霞..一种基于视觉的鱼苗体长快速非接触测量方法[J].渔业现代化,2024,51(6):69-79,11.基金项目
湖北省重点研发项目"小龙虾数字化分捡技术装备开发及应用(2022BBA016)" （2022BBA016）
湖北省自然科学基金项目"不确定环境下移动机器人智能感知理论及自主行为关键技术研究(2023AFA037)" （2023AFA037）
