Intelligent Pothole detection using imaging and computer vision.
Bowl-shaped holes of various sizes in the pavement surface. Minimum plan dimension is 150 mm. Circular potholes should have a minimum diameter of 150 mm. A 150-mmdiameter circle should fit inside irregular-shaped potholes.
- https://repository.up.ac.za/bitstream/handle/2263/57733/Nienaber_Detecting_2015.pdf?sequence=1
- http://www.icter.org/conference/icter2016/sites/default/files/icter/IITC-2008p1.pdf
- https://pdfs.semanticscholar.org/f28c/b61a43f16bde57072819b107e0051c6c0afc.pdf
- http://www.wseas.us/e-library/conferences/2013/Antalya/ITCN/ITCN-05.pdf
- http://www.ijetsr.com/images/short_pdf/1491839718_dmce906_venue_ijetsr.pdf
- http://cisjournal.org/journalofcomputing/archive/vol8no1/vol8no1_5.pdf
- https://medium.com/@percepsense/intelligent-pothole-detection-879ef635dd38
- https://github.com/marty-Wallace/Pothole
- Samples Collection http://www.image-net.org/synset?wnid=n09398076
- Image Preprocessing
- Visualization
- Feature Selection
- Color Model
- Contour Detection
- Shape Detection
- Contour drawing
- Perspective (Not included)
- Grayscale
- Color Tone
- Training Data Preparation
- Algorithm Selection
- Reporting on Accuracy and Efficiency
- Image Preprocessing
- Image Classification
http://blog.mmast.net/python-image-processing-libraries-performance-opencv-scipy-scikit-image