Blue-green algae image recognition method based on deep learning

Abstract

The invention discloses a blue-green algae image recognition method based on deep learning, and the method comprises the steps: carrying out the coarse-grained feature extraction through employing ResNet16 improved based on a bilinear network, and obtaining a coarse-grained feature map of a blue-green algae image; an attention mechanism module of a convolution module is added behind ResNet16, important blue-green algae feature information in the image is obtained through learning weight, and enhanced fine-grained features are obtained; bilinear fusion is carried out on blue-green algae fine-grained image features extracted by two feature extraction functions A and B in the bilinear model to obtain an M * N-dimensional matrix b; and performing summation pooling on the matrix b to obtain a matrix xi, performing vector expansion and recombination on the matrix xi to obtain a feature vector x, and predicting the bilinear vector x by using a classification function. The method gives full play to the feature extraction advantages of the bilinear model and the attention mechanism on the fine-grained image, achieves high blue-green algae recognition precision, enhances the robustness of the network model, and effectively completes the recognition of the blue-green algae image.

Description

technical field [0001] The invention relates to a deep learning-based cyanobacteria image recognition method, which belongs to the technical field of computer vision. Background technique [0002] Water is the source of all things and an important natural resource for human beings. It is also the basic condition for the survival and development of human beings, animals and plants, and an extremely important guarantee for sustainable social and economic development. However, with the development of society and industry and population growth, the pollution of water resources is becoming more and more serious. Among them, the eutrophication of water bodies is a major problem facing my country's water resources, especially inland lakes. An important feature of eutrophication is the bloom of algal matter, especially cyanobacteria. The abnormal growth of cyanobacteria is easy to accumulate, rot and settle, and form algal blooms, which accumulate in estuaries and near shores, not ...

AI Technical Summary

Problems solved by technology

However, the current use of image resources is still dominated by manual query and browsing and manual labeling and classification, which is inefficient

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