We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Experimental and Numerical Research of Paved Microcrack Using Histogram Equalization for Detection and Segmentation.
- Authors
Ullah, Asad; Sun, Zhaoyun; Elahi, Hassan; Afzal, Farkhanda; Khatoon, Amna; Sayed, Nasir; Ahmad, Ishfaq
- Abstract
The paved cracks are one of the major concerns for scientists and engineers in road maintenance and damage evaluation study. Digital image processing applications have been applied in road surface inspection, classification, and decomposition of paved roads. This paper has tested and proposed the process to evaluate the road cracks and their possible solution as we know that the key issues for analysis are enhancement and segmentation of image along with edge detection to attain the promising results we have gained and discussed under the heading of simulations for the experimental and numerical of crack detection. Using MATLAB, we examine the various gray-level image using better techniques based on their computational capability. The method is based upon one of the histogram modification techniques, which is coupled with the segmentation method and the crack edge detection. At last, three feature methods are used, namely, Harris, MSERF, and SURF, to wind up our research.
- Publication
Mathematical Problems in Engineering, 2022, p1
- ISSN
1024-123X
- Publication type
Academic Journal
- DOI
10.1155/2022/2684983