Paper
12 March 2020 Location of circular retro-reflective target based on micro-vision
Yan Li, Hongru Li, Xiaochuan Gan, Jiansu Qu, Xiaosu Ma
Author Affiliations +
Abstract
In close range photogrammetry, a scale bar which has fixed targets on it is often used to scale a photogrammetric measurement by giving known distance(s) between the targets. It’s important to make sure that the scale bar can provide precise distances so the measurement can be scaled correctly. An effective way to calibrate a scale bar was realized by getting the microscopic images of the retro-reflective targets (RRT) at two ends of the scale bar and locating their centers, and the distance between two targets was measured by the laser interferometer, then the length of the scale bar could be calculated from geometric relations. In this calibration method, the problem of accurate location of RRT is a key to calibrate the photogrammetric scale bar. So in this paper, we focus on this problem and propose a RRT location scheme based on microscopic vision and image processing. The composition and principle of the target location system are introduced. According to the retro-reflective features of the RRTs and their image characteristics under the microscope, the image processing methods of preprocessing, feature extraction and centering are analyzed. The factors such as image magnification, illumination and offsets in the field of view, which may the significant sources of location error, have been tested and analyzed. The results help to standardize the RRT imaging conditions so the measurement repeatability can be improved. The repeated positioning accuracy is less than 0.3μm.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Li, Hongru Li, Xiaochuan Gan, Jiansu Qu, and Xiaosu Ma "Location of circular retro-reflective target based on micro-vision", Proc. SPIE 11439, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 114390S (12 March 2020); https://doi.org/10.1117/12.2543291
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Light sources

Calibration

CCD cameras

Image segmentation

Photogrammetry

RELATED CONTENT


Back to Top