Research On The Segmentation Method Of Embryo And Egg Image Of Virus Plant Based On Deep Learning

Avian influenza is mainly prevented through vaccination.At present,the preparation of avian influenza vaccine is mainly carried out by the viral cultivation in egg embryos.In the process of vaccinated egg cultivation,the unseparated dead embryos will cause failure of the cultivation.Therefore,the fertility detection and classification of vaccinated egg is important for the manufacture of influenza vaccine.The artificial egg irradiation method with poor efficiency are still used in the present fertility detection of vaccinated egg.Thus,automatic fertility detection of vaccinated egg from images by machine vision has become a focus in research.An image segmentation method based on dense block and hierarchical sampling strategy of pixels is proposed in this paper to realize the segmentation of vaccinated egg image.This method can carry out image segmentation at the semantic level,that is,by classifying each pixel in the image to achieve the classification of pixel level.Dense block is used instead of the traditional layer-by-layer structure,in which each layer is connected to all the layers in the block.The dense connection structure allows each layer to obtain gradients directly from the loss function and the original input signal.Combining the feature maps learned by different layers will increase the changes of input in subsequent layers and improve efficiency.The shallow and deep features can be freely combined,which will make the model results more robust.The hierarchical sampling strategy of pixels uses small batch sampling strategy to add diversity during batch update,which can accelerate learning.The sampled features are sparsely arranged and classified using MLP,which can introduce complex nonlinear predictors and improve accuracy.The experimental results show that dense block can reduce the parameter quantity of the network,enhance the ability of feature extraction,and increase the generalization ability of the network.The hierarchical sampling of pixels makes full use of the information of adjacent pixels,so that the segmentation results show more fine on the edge.According to the image data of vaccinated eggs,the network structure designed in this paper has improved the segmentation results of blood vessels,cracks and air chambers.Classification is carried out according to the results of the segmentation.The detection of the fertility of vaccinated egg is realized.