Identification and comparative analysis of potholes using image processing algorithms
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Potholes have become a major havoc and are the leading reason for the damage of road transportation vehicles. This is why this paper was made to verify and understand whether a feasible commercial product can be made using the current algorithms to detect potholes, which can aid the driver of the vehicle. The topic selected uses different algorithms to test whether it can identify all types of potholes based on the intensity of the image and the shape of the pothole in any given condition. Performance analysis of the different algorithms is used in Matlab2015Ra image processing toolbox to find out the effectiveness of the algorithms for potholes in different environments of Bangladesh and the pothole photos from internet. And the following techniques that were worked on were Image Thresholding, canny edge detector, K-Means clustering and Fuzzy C-Means clustering along with other operations.