湖北农业科学 ›› 2019, Vol. 58 ›› Issue (8): 136-140.doi: 10.14088/j.cnki.issn0439-8114.2019.08.032

• 农业工程 • 上一篇    下一篇

不同拍摄模式对福建四种常见林业蛾类标本图像识别的影响

卢赐鼎a, 华银a, 林达坤b, 韩小红a, 林浩宇b, 蔡晓明a, 黄世国b, 张飞萍a, 梁光红a   

  1. 福建农林大学,a.林学院; b.计算机与信息学院,福州 350002
  • 收稿日期:2018-12-27 出版日期:2019-04-25 发布日期:2019-12-04
  • 通讯作者: 梁光红,副教授,博士,(电子信箱)fjlhg@126.com
  • 作者简介:卢赐鼎(1993-),男,福建厦门人,在读硕士研究生,研究方向为森林保护工程,(电话)15880248285(电子信箱)940884233@qq.com
  • 基金资助:
    国家重点研发项目(2017YFD0600105); 国家自然科学基金项目(31870641); 福建省科技厅引导性项目(2016N0002); 福建省高校产学研合作项目(2018N5101); 福建省林业科学研究项目(闽林科2017-3号)

Impact of shooting models on four moth species identification by using automatic recognition system in Fujian province

LU Ci-dinga, HUA Yina, LIN Da-kunb, HAN Xiao-honga, LIN Hao-yua, CAI Xiao-minga, HUANG Shi-guob, ZHANG Fei-pinga, LIANG Guang-honga   

  1. a.Forestry College; b. College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
  • Received:2018-12-27 Online:2019-04-25 Published:2019-12-04

摘要: 以福建4种常见林业蛾类害虫若干个体为拍摄样本,获取不同拍摄模式下的图像数据,并采用MATLAB 2009软件进行识别,比较分析不同拍摄模式对蛾类害虫识别的影响。结果表明,①单反相机的快门速度对识别率有显著影响(P<0.05),以1/2 000、1/4 000 s为最佳;但感光度(ISO)和光圈(f)大小对识别率没有显著影响(P>0.05);②拍照设备中以单反相机的平均识别率最高,达93.3%,但3种设备对识别率没有显著性影响(P>0.05);③不同的拍摄角度对识别率有显著影响(P<0.05),其中以90°~120°拍摄效果最好,建议在实际应用中尽量将拍摄角度控制在90°~120°,以提高图像质量和识别率。

关键词: 标本, 蛾类成虫, 自动识别系统, 识别率

Abstract: This study was performed to figure out the impact of shooting models on moth recognition based on images of hundred of specimens from four common forest moths in Fujian province. All specimens images were taken and collected under different shooting mode, and recognized and analyzed by using MATLAB 2009 and statistical software. The results showed that: ① The shutter speed of the SLR camera had a significant impact on the recognition rate (P<0.05), with 1/2000s or 1/4000s as the best shutter speed, however, the sensitivity (ISO) and aperture (f) size had no significant influence on the recognition rate (P>0.05). ② The recognition rate of SLR (93.3%) camera was the highest among three cameras, but there were not remarkable impact of different three cameras on the recognition rate (P>0.05). ③ There was a significant influence on recognition rate among different shooting angles (P<0.05), and the angles range from 90°to 120° were the best. Consequently, to improve the image quality and the recognition rate, we suggested operator try to use shooting angles from 90°to 120°, combining the shutter speed and angles together. This research is supposed to lay a foundation for the optimization, application and promotion of moths image recognition technology in the future.

Key words: specimen, moths, automatic recognition system, recognition rate

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