基于机器视觉的鱼苗自动计数方法研究

Study on Automatic Counting Method of Fish Fry Based on Machine Vision

在传统渔业中,渔民每年在计算鱼苗数量时会花费大量的人力物力,而且精确度不高。针对这个情况,本研究借助于Geany开发平台,使用Python语言和OpenCV视觉函数库开发了一个鱼苗自动计数系统。通过对鱼苗图片进行预处理、分割、识别、计数等一系列操作,利用连通域计数快速识别出图像中鱼苗数量。

In traditional fisheries,fishermen spend a lot of manpower and material resources in calculating the number of fish fry every year,and the accuracy is not high.In response to this situation,this study used the Geany platform to develop a fish fry automatic counting system using Python language and OpenCV vision function library.Through a series of operations such as preprocessing,segmentation,recognition,and counting on the fish fry images,the number of fish fry in the image is quickly identified using connected domain counting.