2017-07-19 19:29:46 -0600 | commented question | Which method would be better for my purpose? Thanks for your answer berak, You are right, these cracks/failures can come in any size or shape, but they tend to have a determinated orientation or angle depending of the reason of the failure (shear, flexure, etc), and obviously the crack comes always in gray/grey. Here is an ilustration of how the shear failures comes, and a picture of a real shear failure. http://ijripublishers.com/IJRI-Publishers/pdf/CIVIL/VOLUME%201/IJRI-CCE-01-003/3.png http://alert.air-worldwide.com/Alert/alertdata/Protect/Data/Chile__Earthquake/L3/Fig9_Shear.jpg As you can see the shear failure tend to come in a 45° angle |
2017-07-18 23:39:22 -0600 | asked a question | Which method would be better for my purpose? Hello, Im a civil engineering student, and I will do my thesis about recognizing structural failures on concrete walls. Im searching for information about which method/algorithm would be the better for this purpose. I spect to have 200+- images for training like this: . I read about LBP, Haar-like, HOG+SVM, SURF and SIFT, but I really dont know which one would be better. If some1 can help me Ill very very thankful. ps: sorry for my english, im not native. |