基于图像识别技术研究不同海区三疣梭子蟹甲壳白色斑纹特征及蜕壳前后斑纹特征的变化
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  • 英文篇名:Development of the recognition method based on computer vision for white spots in the carapace of Portunus trituberculatus and research on its characteristics
  • 作者:卢少坤 ; 李荣华 ; 施欧文 ; 王春琳 ; 母昌考 ; 宋微微 ; 王斌 ; 徐建瑜
  • 英文作者:LU Shaokun;LI Ronghua;SHI Ouwen;WANG Chunlin;MU Changkao;SONG Weiwei;WANG Bin;XU Jianyu;Key Laboratory of the Ministry of Education for Applied Marine Biotechnology, School of Marine Science,Ningbo University;Collaborative Innovation Center for Zhejiang Marine High-efficiency and Healthy Aquaculture;Faculty of Information Science and Technology, Ningbo University;
  • 关键词:三疣梭子蟹 ; 色斑 ; 图像识别 ; 蜕壳 ; 多样性
  • 英文关键词:Portunus trituberculatus;;white spots;;figure recognition;;molting;;diversity
  • 中文刊名:SCKX
  • 英文刊名:Journal of Fisheries of China
  • 机构:宁波大学应用海洋生物技术教育部重点实验室;浙江海洋高效健康养殖协同创新中心;宁波大学信息学院;
  • 出版日期:2018-01-26 16:33
  • 出版单位:水产学报
  • 年:2018
  • 期:v.42
  • 基金:国家“八六三”高技术研究发展计划(2012AA10A409);; 国家自然科学基金(41476124);; 浙江省自然科学基金(LY17C190005);; 宁波市科技富民项目(2016C10037);; 宁波大学“水产”浙江省重中之重一级学科开放基金(xkzsc1505)~~
  • 语种:中文;
  • 页:SCKX201802010
  • 页数:10
  • CN:02
  • ISSN:31-1283/S
  • 分类号:101-110
摘要
为进行三疣梭子蟹外观特征的研究,本研究通过计算机视觉技术建立三疣梭子蟹背部白色斑纹评估方法,经人工对比验证其准确性达100%。在此基础上,对来自海域的30只三疣梭子蟹[平均体质量(2.8±0.56)g]进行跟踪观察,发现蜕壳前后白色斑纹数量和位置保持不变,而白色斑纹面积和斑纹区域面积则会随着蜕壳后蟹壳面积的增加而扩大;蜕壳后,白色斑纹面积增加89.33%±8.61%,斑纹区域面积增加90.51%±7.95%,蟹壳面积增加94.66%±8.26%,均显著正相关。为进一步研究不同海区梭子蟹白色斑纹分布特征,对来自朝鲜、中国辽宁和浙江等不同海区的三疣梭子蟹进行白色斑纹个数(N)、白色斑纹面积(S1)、斑纹区域面积(S2)、白色斑纹面积百分比(R1)、斑纹区域面积百分比(R2)和密度(D)等6项参数分析,结果发现,不同海区三疣梭子蟹斑纹性状存在显著特点,朝鲜海区呈现斑纹小、分布面积少、占蟹壳总面积比例低的特点;辽宁海区呈现斑纹小、分布面积多、占蟹壳总面积比例高的特点;浙江海区呈现斑纹大、分布面积少、占蟹壳总面积比例低的特点。本研究将计算机视觉技术应用于水产养殖研究,通过建立评估参数阐明三疣梭子蟹白色斑纹的生长规律,揭示了不同群体的三疣梭子蟹白色斑纹具有地理多样性的特征。
        To study the morphological characteristics of white spots in the carapace of Portunus trituberculatus, a computer vision-based recognition method was developed in this paper with an accuracy of 100%. The molting process of thirty crabs from sea area[ body weight(2.8±0.56) g] was tracked to investigate the growth changes of white spots in the carapace of P. trituberculatus. Results showed that the number and relative positions of white spots had no significant changes after molting, however, the white spot area and its distribution area grew with the carapace. After molting, the white spot area increased by 89.33%±8.61%, the distribution area increased by90.51%±7.95%, and the carapace area increased by 94.66%±8.26%. P. trituberculatus from North Korea, Liaoning and Zhejiang were collected to compare six parameters related to white spots trait in the carapace, and results showed significant geographical differences. The white spot traits of North Korea had the features of small spots,small distribution area and accounted for a low proportion of the carapace area. The traits of Liaoning had the features of small spots, larger distribution area and accounted for a high proportion of the carapace area. While the traits of Zhejiang had the features of big spots, small distribution area and accounted for a low proportion of the carapace area. This study developed the recognition method based on computer vision for white spots in the carapace of P. trituberculatus, and illustrated the growth features of this trait, and revealed significant geographical differences among three populations.
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