Schistosoma cercariae Image Recognition Based on BP Neural Network

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 schistosomacercariae. Schistosoma cercariae´s swing, the complexity of their environment and so on are increasing the difficulty of the schist some cercariae image recognition. In this paper, we extract schist soma cercariae´s morphological characteristics and establish a three-layer BP network B (8, 3, 1) to recognize schist some cercariae image. Experimental results show that the method is effective. Experimental recognition rate can reach 92.86%.