• 首页
  • 期刊简介
  • 编委会
  • 投稿指南
  • 收录情况
  • 杂志订阅
  • 联系我们
引用本文:陈从平,吴 杞,吴 喆,吕 添.一种基于图像处理的鱼类自动分类方法 ——以四种淡水鱼为例[J].软件工程,2018,21(12):7-11.【点击复制】
【打印本页】   【下载PDF全文】   【查看/发表评论】  【下载PDF阅读器】  
←前一篇|后一篇→ 过刊浏览
分享到: 微信 更多
一种基于图像处理的鱼类自动分类方法 ——以四种淡水鱼为例
陈从平,吴 杞,吴 喆,吕 添1,2
1.(1.三峡大学机械与动力学院,湖北 宜昌 443002;2.
2.常州大学机械工程学院,江苏 常州 213164)
摘 要: 为了准确地对鱼类的品种进行自动识别,本次研究以鳊鱼、鲫鱼、鳙鱼、草鱼四种淡水鱼为实验对象, 提出一种基于图像处理的鱼类自动识别方法。首先对鱼的外轮廓进行鱼体长度统一化处理,再提取并计算鱼体头部轮廓 夹角、鱼体尾柄宽度与尾柄中点到鱼头夹角顶点的长度之比(宽长比)等特征值,最后运用鱼头部轮廓夹角与宽长比这两 个特征对四种淡水鱼进行分类识别。研究结果表明,本文所提供的分类方法能准确地对鳊鱼、鲫鱼、鳙鱼、草鱼四种淡 水鱼的品种进行识别,且识别精度达到94.97%以上。可为鱼类品种的自动识别提供指导,具有较好的实际应用价值。
关键词: 图像处理;鱼类品种识别;鱼头夹角;宽长比
中图分类号: TP391.4    文献标识码: A
基金项目: 三峡库区生态环境教育部工程研究中心开放课题(KF2015-11).
An Automatic Identification Method for Freshwater Fishes Based on Image Processing —A Case Study of Four Species of Freshwater Fishes
CHEN Congping,WU Qi,WU Zhe,LV Tian1,2
1.( 1.Department of Mechanical and Power, China Three Gorges University, Yichang 443002, China;2.
2.Department of Mechanical Engineering, Changzhou University, Changzhou 213164, China)
Abstract: In order to accurately identify fish species,this study takes four species freshwater fishes,including bream,crucian,bighead,grass carp,as the experimental subjects,and proposes an automatic identification method for fish species based on image processing.The first step is to unify the outer contour's length of the fish body,then to calculate the angle of fish's head and the ratio of the width of the fishtail to the length between the middle point of the fishtail and the vertex of head's angle (ratio of width to length).Finally,the angle of fish's head and the ratio of width to length are used to classify the four freshwater fishes.The results show that the method presented in this paper can accurately identify the four freshwater species,and the accuracy is over 94.97%.It can be used as a guide for the automatic identification of fish species with good practical value.
Keywords: image processing;fish species identification;head angle;ratio of width to length


版权所有:软件工程杂志社
地址:辽宁省沈阳市浑南区新秀街2号 邮政编码:110179
电话:0411-84767887 传真:0411-84835089 Email:semagazine@neusoft.edu.cn
备案号:辽ICP备17007376号-1
技术支持:北京勤云科技发展有限公司

用微信扫一扫

用微信扫一扫