Image Segmentation of Thermal Waving Inspection based on Particle Swarm Optimization Fuzzy Clustering Algorithm

[1] Liu, B., Zhang, C.L., Feng, L.C. et al. (2007). Edge detection method on thermal wave images for skincore disbonds in carbon fiber reinforced honeycomb material. Infrared and Laser Engineering, 36 (2), 211-213, 273.Search in Google Scholar

[2] Maldague, X.P.V. (2002). Introduction to NDT by active infrared thermography. Materials Evaluation, 6, 1060-1073.Search in Google Scholar

[3] Yang, X.L., Jiang, T., Feng, L.C. (2009). Thermographic testing for impact damage of airplane composite. Nondestructive Testing, 31 (2), 120-122, 143.Search in Google Scholar

[4] Steven, M.S., Tasdiq, A., Yu, L.H. (2003). Thermographic inspection of composite structures. SAMPE Journal, 39 (5), 53-58.Search in Google Scholar

[5] Takahide, S., Shiro, K. (2002). Applications of pulse heating thermography and lock-in thermography to quantitative nondestructive evaluations. Infrared Physics & Technology, 43, 211-218.10.1016/S1350-4495(02)00141-XSearch in Google Scholar

[6] Wang, X., Jin, W.P., Zhang, C.L. (2004). Infrared thermography NDT methods and development. Nondestructive Testing, 26 (10), 497-501.Search in Google Scholar

[7] Barreira, E., de Freitas, V.P. (2007). Evaluation of building materials using infrared thermography. Construction and Building Materials, 21, 218-224.10.1016/j.conbuildmat.2005.06.049Search in Google Scholar

[8] Marinetti, S., Vavilov, V. (2010). IR thermographic detection and characterization of hidden corrosion in metals. Corrosion Science, 52, 865-872.10.1016/j.corsci.2009.11.005Search in Google Scholar

[9] Přibil, J., Zaťko, B., Frollo, I. et al. (2009). Quantum imaging X-ray CT systems based on GaAs radiation detectors using perspective imaging reconstruction techniques. Measurement Science Review, 9 (1), 27-32.10.2478/v10048-009-0002-xSearch in Google Scholar

[10] Mikulka, J., Gescheidtova, E., Bartusek, K. (2012). Soft-tissues image processing: Comparison of traditional segmentation methods with 2D active contour methods. Measurement Science Review, 12 (4), 153-161.10.2478/v10048-012-0023-8Search in Google Scholar

[11] Zhang, X.G., Li, J., Liu, S.Q. (2006). A method of infrared image segment based on mathematical morphology. Guidance & Fuze, 12, 40-43.Search in Google Scholar

[12] Duan, X.D., Wang, C.R., Liu, X.D. (2007). ParticleSwarm Optimization Algorithm and Application. Shenyang: Press of Liaoning University, 154-184.Search in Google Scholar

[13] Pakhira, M.K., Bandyopadhyay, S., Maulik, U. (2004). Validity index for crisp and fuzzy cluster. PatternRecognition, 37, 487-501.10.1016/j.patcog.2003.06.005Search in Google Scholar

[14] Liu, X.L. (2006). Research on Fuzzy-Clustering-BasedMethod of Image Segmentation. Master dissertation of Hefei University of Technology, Anhui Hefei, China.Search in Google Scholar

[15] Li, L.L. (2009). Fuzzy C-Means Algorithm and ItsApplication in Image Segmentation. Master dissertation of Shandong Demonstration University, Shandong Jinan, China.Search in Google Scholar

[16] Yang, Z.W., Zhang, W., Wu, C.Q. et al. (2010). Infrared thermography applied to evaluate adhesive quality of missile motor shell. Chinese Journal ofScientific Instrument, 31 (12), 2781-2787.Search in Google Scholar

[17] Yang, Z.W., Zhang, W., Tian, G. et al. (2011). Infrared thermography applied to detect debond defect in shell structure. Infrared and Laser Engineering, 40 (2), 186-191.Search in Google Scholar

[18] Ahmed, M.N., Yamany, S.M., Mohamed, N. (2002). A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data. IEEETransactions on Medical Imaging, 21, 193-195.10.1109/42.99633811989844Search in Google Scholar