A quadrilateral distorted image correction algorithm based on block triangle
Xiangyu Deng, Aijia Zhang, Jinhong Ye · 2023
In the process of image shooting, due to the shooting angle or the shooting reason, the original image has geometric deformation problems in the geometric position, shape, size and orientation, which brings many inconvenience and difficulties to the following image processing fields such as image fusion, image denoising, image recognition, and image edge detection. In order to further improve the image processing ability and recognition accuracy of distorted graphics, this paper proposes a distortion correction algorithm based on block mapping for quadrilateral target images. This algorithm completes the transformation of the image from irregular to regular by dividing the quadrilateral image into two triangle images and performing homography mapping on the pixel points of the triangle image respectively. A large number of experiments show that the algorithm in this paper is superior to traditional methods such as hough and radon transform, and solves the limitations of traditional mapping algorithm in the process of quadrilateral image correction, improves the correction effect of distorted images, and provides a strong support for the subsequent processing of distorted images.