数字全息中基于优化Harris角点的相位拼接算法

针对数字全息技术中测量面积受限的问题，提出基于优化Harris角点算法的拼接算法实现相位的双方向拼接。在获取数字全息图像时，保证相邻区域具有部分重叠，再对获得的物体的各子孔径相位图像进行拼接；用Harris角点算法检测角点密集区域为匹配模板，可高效且精准地确定重叠区域，结合高斯尺度空间和金字塔匹配思想对算法进行优化，通过加权融合实现三维形貌的再现相位拼接。以玻璃样板为实验对象，完成了物体再现相位的双方向拼接。实验结果表明:该拼接方法能够有效扩大数字全息测量物体的测量面积，并保证了较高的拼接准确度。

Phase splicing algorithm based on optimized Harris corner in digital holography

Aiming at the problem of limited measurement area in digital holography, a splicing algorithm based on optimized Harris corner algorithm was proposed to realize phase bidirectional splicing. In the process of acquiring digital holographic images, it was ensured that adjacent regions had a certain overlapping portion, and the phase images of the sub-apertures of the obtained objects were spliced; the Harris corner algorithm was used in the splicing to select the corner-dense regions as matching templates, which was efficient and accurate to determine the overlapping region, combined the Gaussian scale space and the pyramid matching idea to optimize the algorithm, and the phase splicing of the 3-D surface reconstruction was realized by weighted fusion. Taking the glass template as the experimental object, the bidirectional splicing of the phase of the object reproduction was completed. The experimental results show that the splicing method could effectively enlarge the measurement area of digital holographic objects and ensured high splicing accuracy.