基于改进控制标记符分水岭的牙体硬组织分割

针对口腔视频图像中的牙齿形态特点，提出了一种基于改进控制标记符分水岭变换的牙体硬组织分割算法，进而为临床诊断、矫正、修复等提供参考。该方法首先对牙齿图像进行预处理，并结合牙体硬组织颜色特征分析，提取出牙体硬组织区域，作为初步控制标记符；其次，利用支持向量机对初步控制标记符进行分类优化，并经形态学操作处理后，提取出最终的控制标记符；最后，利用基于改进控制标记符的分水岭方法对图像进行分割，将视频图像分成同质区域，并通过计算区域平均特征，完成牙体硬组织的自动分割。仿真实验结果表明，本算法具有较好的适应性和鲁棒性，提高了牙齿硬组织的分割精度。

Dental Hard Tissue Segmentation Based on the Modified Marker-Controlled Watershed Method

Aiming to provide useful reference for dental clinical diagnosis, orthodontic, restoration, etc., this paper proposed a novel dental hard tissue segmentation algorithm according to the characteristics of the dental video images, which employed the modified marker-controlled watershed transform. Firstly, we calculated the preliminary marker areas after dental image pre-processing and color feature analysis. Secondly, the algorithm introduced the support vector machine method and the corresponding morphological operations to optimize the preliminary marker areas. Finally, we used the modified marker-controlled watershed transform to segment the video images and divided them into homogeneous regions. After calculating the average regional characteristics, we can segment the final teeth hard tissue areas from the video images. Simulation experiment results show that the algorithm has good adaptability and robustness, and can increase the segmentation precision of the dental hard tissues.