AN AUTOMATIC FISH COUNTING AND SIZE ANALYSIS SYSTEM USING MACHINE VISION

25. 農業機械學刊第15 卷第1 期2006 年3 月. 應用機器視覺的養殖池魚類. 自動計量分析 系統. 林享曇. 1. ，張嘉孟. 2. ，方煒. 3. ，朱元南. 4. 1. 國立台灣大學生物產業機電 工程學系碩士. 2. 國立台灣大學生物產業機電工程學系博士候選人The survival and growth information of cultured fish is vital to fish culturists for making efficient and timely management decisions. However, apart from current net harvesting method which is largely carried out only at the beginning and end of a cultural season due to high labor requirements and induced fish stress, there is no efficient way to collect fish growth information for the entire stock during the regular growing season. This paper presents a new technique using machine vision to obtain survival and weight distribution data with low labor cost and induced fish stress. Operated by one person, the technique is currently designed to be best used for raceway culture, although it has the potential to apply to wider situations. A movable underwater platform is placed in the raceway so that when fish swim through the shallow water on the platform, low overlapping fish images could be continuously collected by a camcorder and later analyzed automatically in the laboratory to obtain fish number and w eight. The Fish Counting and Analysis System (FCAS) software developed by this research performs a series of image pretreatment operations and could get rid of repeated fish images in consecutive frames by establishing a detection line in the image window and an appropriate image processing algorithm. Four verification experiments were conducted with an average accuracy in fish numbers of 95.7%. The average accuracy for weight estimation was 93.5%.Weight distribution analysis results also corresponded well with manually collected data. The new technique could provide fish culturists with important growth information as a basis for decision support