Method for correcting fisheye images
A technology of fisheye image and correction method, which is applied in the field of computer vision and image processing, and can solve problems such as image distortion and impossibility of direct practical application
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[0053] The implementation of the technical solution is described in further detail below:
[0054] Step 1: Diagonal Scanning
[0055] In this step, the circular effective area of the fisheye image is determined by scanning pixels diagonally.
[0056] 1.1) For a fisheye image P, set its number of pixels to N×M=380×322, and perform grayscale conversion on all its pixels. The conversion method is:
[0057] Gray=0.072169B+0.715160G+0.202671R (21)
[0058] Among them, R, G, and B represent the red, green, and blue values of each pixel, and Gray is the converted value. After transforming each pixel of the color image in this way, a grayscale image T is obtained.
[0059] 1.2) Calculate the aspect ratio of the fisheye image. Assuming that the number of fisheye image pixels is N×M=380×322, the aspect ratio is:
[0060] k = N M = 380 322 - - - ...
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