Research of sub-pixel sub-division location algorithm for spot center of digital aerial survey camera image
2013
So far, the geometric laboratory calibration system of optical aerial survey camera has been well
established, while there is not a perfect system for digital aerial survey camera and the calibration of
digital camera has not been included in the metrological verification system. In order to make the
photogrammetry project rule-based, it’s imperative to establish geometric laboratory calibration system
of digital survey camera. Exact measuring angle method is the most common method to calibrate the
camera in lab. The sub-pixel sub-division location of spot center for point-source image of digital
camera is one of the key techniques to calibrate the camera based on the exact measuring angle method
in lab. A novel location algorithm is proposed on account of the realities of the lab system. First, the
Gauss filter is introduced to reduce the noise from the stray light and so on. Then the integration of
iterative threshold segmentation and seed region growing is adopted to identify the general location of
the spot. Thirdly, using the bilinear interpolation, the pixels used to estimate the location are increased.
Finally, we use the proposed improved moment method to determinate the precise centroid location of
the digital image. Experimental results show that the spots are identified with 93 percent accuracy and
the centroid accuracy is superior to 1/40 of a pixel and improves about 2 to 4 times than other
algorithms, which indicates that the proposed method is effective, convenient and precision.
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