Image Geometric Correction Algorithm

In this article, we discuss image geometric correction algorithms, which are methods used to rectify images. Geometric correction is a crucial domain in digital image processing, primarily aimed at correcting image distortions caused by factors such as camera position, orientation, and lens distortion. The piecewise correction method is a widely utilized approach in image processing that effectively rectifies images to better align with real-world scenes. Through piecewise correction, the image is divided into multiple segments for individual correction, thereby improving the precision and accuracy of the rectification process. This method typically involves key functions such as segment identification through edge detection algorithms (e.g., Canny or Sobel operators), coordinate transformation using affine or projective transformations for each segment, and image warping techniques with interpolation methods like bilinear or bicubic interpolation. Consequently, the piecewise correction method proves to be a highly efficient approach for image correction, warranting further research and application in practical scenarios.