A method and system for tunnel smoke image recognition based on multi-scale feature fusion

Abstract

This invention relates to the field of tunnel image data processing technology, and particularly to a method and system for tunnel smoke image recognition based on multi-scale feature fusion. The method includes the following steps: obtaining the spatial weight of each pixel, where the spatial weight is negatively correlated with the distance from the pixel to the vanishing point; obtaining the enhancement gradient of each pixel, where the enhancement gradient is positively correlated with the proximity between the second and first feature values ​​of the pixel, the first-order gradient magnitude, and the spatial weight; using enhancement gradients greater than a gradient threshold as seed points for connected component analysis to obtain candidate clusters in the tunnel image; obtaining the extinction coefficient of the candidate cluster where the seed point is located; obtaining the pixel corresponding to the candidate cluster in the historical image sequence of the current tunnel image; and performing temporal accumulation on the enhancement gradient and extinction coefficient of the pixel to obtain the smoke determination score of the current tunnel image, thereby identifying tunnel smoke and effectively improving the accuracy of the recognition results.

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