AUTOMATION OF THE CRACK DETECTION PROCESS BASED ON IMAGE PROCESSING
Keywords:
crack analysis, computer vision, image feature classification, Gabor filter, image processing, image enhancement, Python
Abstract
An algorithm for detecting cracks in images is proposed that uses various methods to achieve high accuracy and efficiency. The algorithm includes preprocessing steps such as brightness adjustment, contrast enhancement, and background subtraction to reduce noise and enhance image contrast. The algorithm applies Gabor filters to extract details in the image, and then applies binarization and edge detection to extract cracks from the image. Its software implementation has been performed.
