Crack’s Detection, Measuring and Counting for Resistance’s Tests Using Images
Currently, material resistance research is looking for biomaterials where mechanical properties (like fatigure resistance) and biocompatibility are the main characteristics to take into account. To understand the behavior of materials subject to fatigue, usually we analyze how the material responds to cyclic forces. Failures due to fatigue are the first cause of cracks in materials. Normally, failures start with a superficial deficiency and produce micro cracks, which grow until a total break of the material. In this work we deal with the early detection of micro cracks on the surface of bone cement, while they are under fatigue tests, in order to characterize the material and design better and more resistant materials according to where they would be applied. The method presented for crack detection consists in several stages: noise reduction, shadow elimination, image segmentation and path detection for crack analysis. At the end of the analysis of one image, the number of cracks and the length of each one can be obtained (based on the maximum length of crack candidates). If a video is analyzed, the evolution of cracks in the material can be observed.
KeywordsFatigue Crack Growth Bone Cement Crack Detection Path Detection Shadow Removal
- 1.Rosell, G., Mendez, J.: Bone cement: prevention of exposure to its components. Technical notes. National Institute of Health and Safety at Work. Spain (2009)Google Scholar
- 2.Quesada, F., Charris, J., Perez, J.: Ensayos de fatiga en viga rotativa para determinar la Constante de Miner del acero Aisi 1045. Prospectiva 6(2) (2008)Google Scholar
- 7.Otsu, N.: A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on System, Man, and Cybernetics SMC-9(1) (1979)Google Scholar