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.
YU Xinjie, WU Xiongfei, Wang Jianping, CHEN Li, WANG Lei. Rapid Detecting Method for Pseudosciaena Crocea Morphological Parameters Based on the Machine Vision[J]. Journal of Integration Technology,2014,3(5):45-51Copy