Wavelet-morphology based detection of incipient linear cracks in asphalt pavements from RGB camera imagery and classification using circular Radon transform
- 1 August 2016
- journal article
- research article
- Published by Elsevier BV in Advanced Engineering Informatics
- Vol. 30 (3), 481-499
- https://doi.org/10.1016/j.aei.2016.06.003
Abstract
No abstract availableThis publication has 31 references indexed in Scilit:
- Adaptive Road Crack Detection System by Pavement ClassificationSensors, 2011
- An optimum feature extraction method based on Wavelet–Radon Transform and Dynamic Neural Network for pavement distress classificationExpert Systems with Applications, 2011
- Pothole detection in asphalt pavement imagesAdvanced Engineering Informatics, 2011
- Beamlet Transform-Based Technique for Pavement Crack Detection and ClassificationComputer-Aided Civil and Infrastructure Engineering, 2010
- Wavelet-Based Pavement Distress Image Edge Detection with À Trous AlgorithmTransportation Research Record: Journal of the Transportation Research Board, 2007
- On the optimization and selection of wavelet texture for feature extraction from high‐resolution satellite imagery with application towards urban‐tree delineationInternational Journal of Remote Sensing, 2006
- Automatic inspection of pavement cracking distressJournal of Electronic Imaging, 2006
- Adaptive wavelet thresholding for image denoising and compressionIEEE Transactions on Image Processing, 2000
- Finding Curvilinear Features In Speckled ImagesIEEE Transactions on Geoscience and Remote Sensing, 1990
- Measures of the Amount of Ecologic Association Between SpeciesEcology, 1945