关键词: 脉搏图像, 边缘检测, 亚像素, 最小二乘法拟合

Abstract: In pulse three-dimensional information detection based on binocular vision pulse image sensor, the extraction of pulse image feature points is the critical foundation. In order to improve the location accuracy of the pulse image feature points, a novel algorithm is proposed which can realize pulse image feature points’ sub-pixel location. The algorithm consists of three steps. The first step is image preprocessing, the second step is sub-pixel edge detection based on gray moment, and the last step is to get circular mark central points by the least squares fitting method and complete the pulse image feature points extraction. The experimental results show that the algorithm can accurately locate feature points, with accuracy of central point location up to 0.03~0.04 pixels, and it lays a good foundation for the stereo matching and three-dimensional reconstruction of the pulse image.

Key words: pulse image, edge detection, sub-pixel, least squares fitting method