III
ABSTRACT
Camera calibration is one of the important research visual inspection, photogrammetry,
computer vision and other areas, it is through a series of three-dimensional geometry of space
on the physical characteristics of the corresponding point in the two-dimensional image of
the relationship, calculate the final results with optimized camera internal and external
parameters. In the image measurement or computer vision, precise calibration parameters are
very critical step to determine its calibration accuracy and stability of the results algorithm to
produce camera work directly affects the accuracy of the results.
In this paper, MATLAB programming language to develop a camera calibration system,
software system function modules include: calibration template production, image processing,
camera calibration, image distortion correction and the corrected image matching stitching.
The image processing part in removing the noise and edge-preserving win-win bilateral
filtering, the largest division within the variance between the adaptive improvement
determine the conditions of subpixel edge gray matrix coordinate extraction and least squares
fitting algorithms to extract the center oval Asia pixel coordinates.
For camera calibration is required to ensure that the calibration was smooth and rigorous
precision calibration object manufacturing and maintenance not only difficult and costly
problem, we use the LCD as a calibration template to solve the usual practice in many
engineering applications, or the need for a lower cost The high precision flat calibration
object problems. Now that LCD monitor production process is relatively mature, pure
flatness deviation of less than 0.05um, pitch accuracy up to 0.01mm, much higher than
ordinary printed cardboard precision, so in the world coordinate measurement accuracy can
meet the high calibration and measurement accuracy. By automatically obtain the computer
screen resolution to draw any size of custom precision circular feature points as the
calibration and automatically get the physical characteristics of the dot center coordinate
space, the successful solution of such problems. Camera calibration algorithm on the basis of
Zhang Zhengyou joined tangential distortion and improve parameter optimization algorithm
to optimize the calculation, and further improve the calibration accuracy.
After the use of the calibration parameters on the distortion resulting image taken under