Schistosoma Cercariae Image Recognition Based on BP Neural Network

摘要：

Schistosomiasis is infectious and parasitic diseases with serious hazards. It will contribute to the prevention and treatment of schistosomiasis to establish an automatic monitoring and identifying system for the schistosoma cercariae. Schistosoma cercariaes swing, the complexity of their environment and so on are increasing the difficulty of the schistosome cercariae image recognition. In this paper, we extract schistosoma cercariaes morphological characteristics and establish a threelayer BP network B (8,3,1) to recognize schistosome cercariae image. Experimental results show that the method is effective.Experimental recognition rate can reach 92.86％.

关键词： feed forward neural networks schistosomiasis image recognition morphological characteristics matlab software

作者: Shenhai Yan Xiantong Huang Yuhuan Chen

作者单位: The college of mathematical and computer science GanNan Normal University Ganzhou, China Modern Education Technology Center GanNan Normal University Ganzhou, China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 442-445

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）