农业工程学报2011，Vol.27Issue(2)：350-354,5.DOI:10.3969/j.issn.1002-6819.2011.02.059
基于机器视觉技术的淡水鱼质量分级
Weight grading of freshwater fish based on computer vision
摘要
Abstract
In order to facilitate the subsequent processing, it is necessary to develop a grading system for weight classification of freshwater fish automatically.In this study, 86 freshwater fish were collected as the test samples.With taking the image of each fish by the machine vision, and through the image processes: gray, binary conversion and contour extraction, the axis and the projected area of the crucian were extracted.By experiment, the proportional relations of the length with the weight of the head, the belly and the tail were found out, which were used to correct the projected area.Finally the prediction model was extracted by the regression analysis.The experiments showed that the weight of the fish was highly correlated with the projected area, the R2 was 0.9878; and the forecast model was verified.The mean relative error was 3.89％ and the mean absolute error was 6.81 g.Results show that the computer vision can be used to grade the freshwater fish.关键词
图像处理/分级/无损检测/淡水鱼/质量Key words
image processing/ classification/ non-destruction examination/ freshwater fish/ weight分类
信息技术与安全科学引用本文复制引用
张志强,牛智有,赵思明,余佳佳..基于机器视觉技术的淡水鱼质量分级[J].农业工程学报,2011,27(2):350-354,5.基金项目
湖北省科技厅研究与开发资助项目(2009BBB013) （2009BBB013）
