1.概述

在深度学习出现之前，图像处理主要有仿射变换与非仿射变换。

2.理论对比

2.1 仿射变换

2.2 非仿射变换

2.3 投射变换

3.代码实现

#include <iostream>
#include <opencv2/opencv.hpp>int main(int argc, char** argv) {if(argc != 2) {std::cerr << "Usage: " << argv[0] << " <image_path>" << std::endl;return -1;}// Load the imagecv::Mat image = cv::imread(argv[1]);if(image.empty()) {std::cerr << "Error: Couldn't read the image. Check the path and try again." << std::endl;return -1;}cv::imshow("Original Image", image);// Affine Transformation: Image Warpcv::Point2f source_points[] = { {0, 0}, {image.cols - 1, 0}, {0, image.rows - 1} };cv::Point2f destination_points[] = { {0, 50}, {image.cols - 50, 0}, {50, image.rows - 50} };cv::Mat affineMatrix = cv::getAffineTransform(source_points, destination_points);cv::Mat warpedImage;cv::warpAffine(image, warpedImage, affineMatrix, image.size());cv::imshow("Warped Image (Affine Transformation)", warpedImage);// Non-Affine Transformation: Perspective Changecv::Point2f source_corners[] = { {0, 0}, {image.cols - 1, 0}, {0, image.rows - 1}, {image.cols - 1, image.rows - 1} };cv::Point2f destination_corners[] = { {30, 30}, {image.cols - 60, 0}, {0, image.rows - 60}, {image.cols - 1, image.rows - 30} };cv::Mat perspectiveMatrix = cv::getPerspectiveTransform(source_corners, destination_corners);cv::Mat perspectiveImage;cv::warpPerspective(image, perspectiveImage, perspectiveMatrix, image.size());cv::imshow("Perspective Change (Non-Affine Transformation)", perspectiveImage);// Wait for a key press and then closecv::waitKey(0);return 0;
}