摘要
为实现粪便虫卵检查法的数字化和自动化,本文在调查鄂尔多斯细毛羊消化道主要线虫病流行病学基础上,广泛收集感染率普遍较高的细颈线虫(Nematodirus)、夏伯特线虫(Chabertia)、捻转血矛线虫(Haem onchus contor-tus)、毛圆线虫(Trichostrongylus)、仰口线虫(O esophagostomum)、食道口线虫(Bunostomum)和奥斯特线虫(O stertagia)卵原始图像,并经photoshop9.0应用软件进行人工分割和背景清理,初步建立了以上7种线虫卵的原始图像库。虫卵图像库共包含1 320幅原始图像,每种虫卵图像至少100幅以上,基本涵盖了每种虫卵图像的多种表现形式,为后期的虫卵图像数字化描述和自动识别奠定了基础。
In order to realize the digitization and automation of fecal egg counting methods, the primary images of Nematodirus eggs, Chabertia eggs,Haemonchus contortus eggs, Trichostrongylus eggs, Oesophagostomum eggs, Bunostomum eggs, and Ostertagia eggs, came from generally higher infection rate of parasites in investigated area, were collected extensively based on the epidemiological investigation of main helminthiasis of naturally grazing Ordos merino sheep. All of primary images were segmented manually and background clean -up by photoshop9.0 software, and 7 kinds of nematode eggs＇original image database was established initially. The data- base contains total of 1320 original egg images, and each of them contains more 100 images, which covering almost all forms of primary eggs. This work laid a good foundation for digital description and automatic identification of helminth eggs in feces.
出处
《内蒙古农业大学学报（自然科学版）》
CAS
北大核心
2011年第1期1-6,共6页
Journal of Inner Mongolia Agricultural University(Natural Science Edition)
基金
国家自然科学基金(31060337)
关键词
鄂尔多斯细毛羊
消化道线虫卵
显微特征
图像库
Ordos merino
gastrointestinal nematode eggs
micro characteristics
image database
