CAJ | 학술논문

目前国内外对血吸虫尾蚴的监测通常是采取人工捕捞方法收集含尾蚴的水体，然后通过显微镜对水中的尾蚴进行肉眼观测．本文采用数字图像识别技术，研究基于轮廓关键点集的形状识别分类算法，并将其应用于血吸虫尾蚴的视频检测识别中，很大程度上提高了对尾蚴进行实时监测的工作效率．
목전국내외대혈흡충미유적감측통상시채취인공포로방법수집함미유적수체，연후통과현미경대수중적미유진행육안관측．본문채용수자도상식별기술，연구기우륜곽관건점집적형상식별분류산법，병장기응용우혈흡충미유적시빈검측식별중，흔대정도상제고료대미유진행실시감측적공작효솔．
At present, domestic and international monitoring of sehistosome cercariae artificial method of fishing is usually taken to collect a body of water containing cercariae and cercariae in water through a microscope for visual observation. In this paper, digital image recognition technology is used to study the critical point set based on contour shape recognition classification algorithms, and then it has been applied to video detection and identification of schistosome cercariae. The cercariae significantly improves the real-time moni- toring of the efficiency.