Dental Hard Tissue Auto-registration Based on Modified ICP Algorithm

Dental hard tissue registration is very challenging due to the complexity of histological structure, the variability of imaging modality and image quality. To benefit from the advantages of the relative works, a novel dental hard tissue auto-registration method based on the modified ICP algorithm was proposed, which was especially effective for intra-oral camera imaging. The dental images were firstly pre-processed to decrease the impact of imbalance local illumination. Secondly, a robust feature points extraction strategy was investigated and proposed, i.e. the boundary of hard tissue and lesion areas were calculated as feature point sets. Then the modified ICP algorithm was executed on the basis of the special designed point-pairs rejection method and the improved registration strategy. The experimental results show that the proposed method can converge more quickly and achipvp hiohr-r acclIracy.