Debond defects between shell and insulation layer of solid rocket motor (SRM) were inspected by numerical analysis and experiment based on thermal wave nondestructive testing (TWNDT) technique. In order to gain intuitionistic and accurate image of defects, the homomorphic filtering was used to enhance the image quality and the particle swarm optimization fuzzy clustering method (PSO-FCM) was applied to segment the defect. Then the size and depth were estimated quantificationally. On this basis, the defects can be 3D reconstructed by volume rendering. The results show that homomorphic filtering has higher peak signal to noise ratio（PSNR）and can improve image quality; the PSO-FCM can achieve the better effect of image segmentation; it could be detected quantitatively and 3D reconstructed effectively for the defects, which establish basis for future research of defect auto-identification.
Key words
infrared thermal wave inspection /
image enhancing /
image segmentation /
quantitative identification /
image reconstruction
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