CAJ | 학술논문

大黄鱼形态参数测量对大黄鱼养殖遗传选育和品质改良等具有重要意义。文章结合机器视觉和称重传感器技术，设计开发了一种大黄鱼体重、体长和体宽等外部形态多参数同步自动检测系统。该系统通过机器视觉自动检测鱼体外部形态参数，通过称重传感器自动获取鱼重量参数。实验结果表明，系统的尺寸测量平均误差为0.28%，鱼重测量平均误差为0.74%，可以满足大黄鱼形态参数测量精度要求，为鱼类形态参数自动检测提供了一种有效的新途径。
대황어형태삼수측량대대황어양식유전선육화품질개량등구유중요의의。문장결합궤기시각화칭중전감기기술，설계개발료일충대황어체중、체장화체관등외부형태다삼수동보자동검측계통。해계통통과궤기시각자동검측어체외부형태삼수，통과칭중전감기자동획취어중량삼수。실험결과표명，계통적척촌측량평균오차위0.28%，어중측량평균오차위0.74%，가이만족대황어형태삼수측량정도요구，위어류형태삼수자동검측제공료일충유효적신도경。
Morphological parameter measurement of Pseudosciaena Crocea plays an important role in its genetic selection and quality improvement. In this paper, an automatic detecting system which can measure the Pseudosciaena Crocea morphological parameters such as weight, length and body width was developed based on the machine vision and weighing sensor technology. The system can automatically detect the external morphology parameters by the machine vision, and get weight parameters through the weighing sensor. The mean errors of dimensional measurement and weighting are 0.28% and 0.74% respectively, which shows that the developed system can completely meet the requirements of morphological parameter measurement for Pseudosciaena Crocea. It is a new effective method to the automatic detection of fish morphology parameters.