Edge-Based Image Registration

This program implements edge-based image registration. During the image registration process, we utilize edge information for alignment. The algorithm first performs edge detection on the input images and selects the longest continuous edge from each image. Subsequently, it detects corner points along the identified edges and calculates curvature-based feature vectors at these corner locations. These vectors are then used for automated feature matching between images to achieve precise registration. This approach enhances registration accuracy by focusing on prominent structural features, thereby improving overall image processing performance. Key implementation aspects include: - Edge detection using algorithms like Canny or Sobel operators - Longest edge selection through contour analysis and length calculation - Corner detection using methods such as Harris corner detector or Shi-Tomasi algorithm - Curvature calculation for feature vector generation at corner points - Feature matching using vector similarity metrics or RANSAC-based approaches