关键词: 血吸虫卵, 自动识别, 血吸虫虫卵, 微机识别, 尼龙袋集卵法, 血吸虫病防治, 改良加藤法, 图象处理系统, 人工检查, 现场应用

Abstract: The digital image processing system is mainly composed of the IBM Personal Com-. puter with Plug-compatible, PCVISION Frame Grabber. The accuracy rate in recognising schistosome eggs is 88.2% and 85.4% for two different ways of processing stool, i.g. by nylon tissue concentration and Kato-Katz technique. The false positive rate is 1.8% and 2.2%, respectively. The system can not only process and analyse the morphological chara-cteristics of schistosome eggs in the stool but also print out the report or tables and statistical data of the observation results automatically. It is promising to be one of the possible diagnostic methods for schistosomiasis and deserve further investigation,