激光与光电子学进展, 2019, 56 (7): 071504, 网络出版: 2019-07-30
高效的胃镜图像肿瘤跟踪算法 下载: 1337次
Efficient Tumor Tracking Algorithm for Gastroscope Image
摘要
根据胃镜下的肿瘤特征,利用基于加速稳健特征(SURF)的模板匹配跟踪算法对肿瘤进行跟踪,通过去除特征点的误匹配点,提高了跟踪定位精度。在基于SURF的匹配跟踪算法中,利用匹配特征点的聚类中心及包围特征点的最小圆位置,测量了每帧跟踪效果。对两组胃窥镜下病灶的视频帧进行跟踪实验,结果表明,改进的基于SURF的匹配跟踪算法具有较好的稳定性和跟踪精度。
Abstract
According to tumor features under gastroscope, the template matching tracking algorithm based on speeded up robust features (SURF) are adopted to track the tumor image. Mismatching points of features are removed to improve the tracking accuracy. In matching tracking algorithm based on SURF, the clustering center of matching feature points and smallest circular position around the feature point are used to measure tracking effect of each frame. Video frames of two groups of gastroscopic lesions are regarded as experiment dataset for target tracking tests. Results show that the improved matching tracking algorithm based on SURF has good stability and tracking accuracy.
刘全胜, 江艳梅, 杨景超, 马鹏程. 高效的胃镜图像肿瘤跟踪算法[J]. 激光与光电子学进展, 2019, 56(7): 071504. Quansheng Liu, Yanmei Jiang, Jingchao Yang, Pengcheng Ma. Efficient Tumor Tracking Algorithm for Gastroscope Image[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071504.