Image processing method for tunnel water seepage detection

The invention discloses an image processing method for tunnel water seepage detection, and belongs to the technical field of image processing. The method is characterized by comprising the following steps of when a black water seepage region is detected, firstly performing Gaussian filtering on an original image, secondly removing a region in which a rule line in an obtained result is located, thirdly performing mean value-based black region detection and brightness value and contrast ratio-based feature measurement on the image and removing an ineffective region, and finally performing transverse and longitudinal measurement on the whole image to obtain a tunnel image marked with the black water seepage region; and when a reflected water seepage region is detected, firstly performing salient region detection on the image subjected to the Gaussian filtering, secondly performing threshold segmentation according to a gradient value and calculating a coincided part of the salient region and a region with a relatively large gradient, and finally removing a region containing relatively few salient pixels from a coincided region to obtain a tunnel image marked with the reflected water seepage region. Compared with an infrared thermal imaging method and a laser scanning method, the scheme has the advantages that the accuracy is high and the detection cost is reduced.