基于Harris角点的木材CT图像配准

提出一种三角形法描述Harris特征点的方法,该算法首先利用Harris算子对两幅图像进行角点检测,将检测到的角点按照权值大小进行排序后,利用三角形法对特征点进行特征描述,从而找出两幅图像间特征点相互对应的关系,同时也得到了图像配准所需要的参数。实验结果证明,该算法配准准确率高,速度快,具有很强的鲁棒性。

Wood CT image registration by Harris corner detector

Proposed a triangle method to describe Harris feature points, firstly, the algorithm uses Harris operator to detect the corner points of the two images, then sorts the corner points in accordance with the size of the weights, and uses the triangle method to describe the feature of the feature points in order to identify the feature points’ corresponding relationship between the two images, and has also obtained the image registration parameters. Experimental results show that the algorithm with high accuracy, speed, and has a strong robustness.