Image Warping via Control Point Manipulation

In this documentation, we explore how to implement image warping through control point manipulation using MATLAB. Control point operation is an image editing technique that allows users to mark several control points, then after pressing Enter, specify the target positions where these points should warp to, thereby causing the entire image to deform accordingly.

Image warping using control point manipulation finds extensive applications across various domains such as computer vision, image processing, and medical imaging. In computer vision, it can be utilized for facial recognition, image registration, and image enhancement tasks. In medical imaging, this technique enables 3D reconstruction, image registration, and tumor segmentation applications.

Implementing control point-based image warping in MATLAB is straightforward and involves the following steps:

1. Load and display the input image using functions like imread() and imshow()

2. Mark initial control points using MATLAB's ginput() function or cpselect() for interactive point selection

3. Press Enter and specify target positions for the control points - this creates source and destination point pairs

4. Perform warping operations using transformation functions like fitgeotrans() for estimating transformation matrices, followed by imwarp() to apply the geometric transformation to the entire image

By implementing control point-based image warping in MATLAB, we gain flexible and dynamic image editing capabilities that can meet the requirements of various domains and specific application tasks.