渔业现代化Issue(1)：18-23,6.DOI:10.3969/j.issn.1007-9580.2016.01.004
基于机器视觉的点带石斑鱼异常行为识别方法研究
Study on the identification of abnormal behavior of Epinephelus malabaricus based on computer vision
摘要
Abstract
The application of computer vision technology on identification and warning of Epinephelus malabaricus’ abnormal behavior is helpful to improve the Epinephelus malabaricus’ survival rate, reduce the loss of human resources in the culture process . Under the condition of constant ammonia nitrogen , temperature, pH value, through artificially adjusted dissolved oxygen concentration in culture water , Epinephelus malabaricus’ images under normal and abnormal conditions were obtained .The collected images were processed using foreground extraction , binarization, open operation, median filtering method , then two images under normal condition and abnormal condition were selected for differential operation to get the differential image of mouth area under the two conditions .The fisheye center coordinate was obtained based on the fish eye shape.So that, the image only contained the fish mouth based on the fisheye center coordinates could be cut out .The fish mouth state ( open or close ) and lasting time were judged according to mouth areae . If the fish mouth was open for 2 minutes, it was regarded that the fish appeared abnormal behavior and would give warning.50 Epinephelus malabaricus with uniform size were used to verify this method , and the results indicated that the method could effectively identify the abnormal behavior of Epinephelus malabaricus.In conclusion , the proposed method is beneficial for improving the efficiency of the aquaculture , and promoting the development of modern aquaculture .关键词
点带石斑鱼/图像处理/异常行为/机器视觉/报警Key words
Epinephelus malabaricus/image processing/abnormal behavior/computer vision/warning分类
农业科技引用本文复制引用
徐愫,邢克智,田云臣,马国强,包蕊,路宁..基于机器视觉的点带石斑鱼异常行为识别方法研究[J].渔业现代化,2016,(1):18-23,6.基金项目
公益性行业（农业）科研专项“现代渔业数字化及物联网技术集成与示范（201203017）”；天津市科技支撑计划“水产养殖业物联网技术集成研究与应用示范（14ZCZDNC00009）” （）
