Abstract
Non-local method is a very effective method to eliminate Gaussian white noise in images, but the pavement image noise is usually non-Gaussian. In this paper, a non-local based method of denoising and enhancement of pavement crack images is proposed. First, morphological corrosion operator is used to convert the image noise of pavement into near-Gaussian noise; Second, using an improved (Block-match 3D Filtering) BM3D denoising and enhancement method to denoise and enhance pavement images; Finally, the remaining noise is removed by block cosine transform combined with gradient value. The experimental results show that the proposed method can achieve ideal pavement cracks detection results.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
