Abstract
Abstract In order to achieve high-precision positioning of surgical instruments, the accurate position of the mark point must be obtained in real time. The three-dimensional positioning process of mark points is generally divided into four parts: projection extraction of mark points, distortion correction, stereo matching, and three-dimensional reconstruction. Among them, the accuracy of mark point projection extraction directly determines the positioning accuracy of mark points, while the extraction of mark point projections can be divided into three parts: mark point edge detection, mark point contour screening, and mark point center extraction. In view of this, a mark point projection extraction method based on edge features is proposed to achieve high-precision extraction of the mark point center.
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