Image Micro-feature Recognition Technology Based on Deep Learning
In order to improve the recognition effect of micro-features in images,a new feature recognition technology is proposed based on deep learning technology.Firstly,the original image is decomposed by wavelet to eliminate the influence of noise on image quality;then,based on the results of image pre-processing,the attention model of image recognition is constructed by using the spatial attention mechanism in deep learning technology;finally,by setting the training process of the model,the recognition of micro-features in the image is realized.The experimental results show that after applying this technology,the recognition accuracy of image micro-features is always above 98.00%,and this technology reduces the recognition calculation.
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