Building engineering crack detection method and system based on image recognition

Abstract

The application discloses a building engineering crack detection method and system based on image recognition, and relates to the technical field of image processing. The method comprises the following steps: collecting a building engineering surface image by using an image monitoring device; introducing a building engineering drawing, combining an ambient light condition and an illumination light condition, and generating a basic light background; performing brightness balance optimization on a shadow area of the building engineering surface image, filtering and cutting a dark light point partition, and obtaining a first-level processing image; performing morphological enhancement processing on the first-level processing image, and obtaining a second-level processing image; combining a concrete surface feature, recognizing a structural crack feature set and a non-structural crack feature set; evaluating the influence on the safety of a building structure by using the structural crack feature set and the non-structural crack feature set, and performing safety warning on the building structure. The technical problems of low crack detection efficiency and insufficient accuracy in the prior art are solved, and the technical effect of efficiently and accurately detecting cracks is achieved.

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