The segmentation algorithm of dental CT images based on fuzzy maximum entropy and region growing

摘要

Because the dental structure is irregular and particular, an automatic segmentation algorithm is proposed, which is based on fuzzy maximum entropy theory and region growing method. It achieves automatic acquisition of thresholds and seeds, and gets an accurate segmentation results. With the help of ICM algorithm, it resolves the problem of excessive calculation in the process of automatic threshold acquisition. The applications prove that the new algorithm is intuitive, simple, robust and easy to implement.