关键词: 锦鲤, 图像识别, 摄食状态, 自动提取, 半纺锤形, 特征三角形, 相关性分析模型, 产量估算

Abstract:

Koi is graceful and colorful.In the process of breeding, monitoring the growth state and predicting the yield of koi are both important.Almost every koi will surface on the water when feeding.At this time,the digital camera captures the feeding state image rapidly.The head and mouth of every koi show the semi-spindle shape and bright color significantly contrast with the water background in the image.Based on the method of OpenCV image vision,feature triangle was defined based on the extracted colorful semi-spindle shape automatically.The number and projection area of these triangles in the image were computed through the vector graphics calculation by computer.A great deal of measurement data was taken for analysis on the correlation between the shape parameters and the body mass of koi by MATLAB.A correlation analysis model was established between the projection area of the feature triangle and the body mass.Through this method, the koi yield including the number and average body mass in the aquaculture pond was estimated automatically.The result showed that,the estimating error of the number was lower than 14%,and the estimating error of the average body mass was lower than 12%.The method

could satisfy the needs for the daily koi culture.

Key words: Koi, Image recognition, Feeding state, Extracting automatically, Semi-spindle shape;Feature triangle, Correlation analysis model, Yield estimation