MATLAB Code Implementation for Affine Transformation

I understand that you have two effective MATLAB programs for performing affine transformations. These implementations utilize MATLAB's image processing toolbox functions like imwarp() and affine2d() for coordinate mapping, or may employ direct matrix multiplication for transformation calculations. The affine transformation process typically involves a 2x3 transformation matrix that handles rotation, scaling, translation, and shearing operations through linear algebraic computations. You could enhance your description by detailing specific capabilities such as: bilinear interpolation methods for pixel value calculation, handling of different image formats (RGB, grayscale), or boundary condition management during transformation. Additionally, mention whether your implementations include features like inverse mapping to prevent aliasing artifacts or support for homogeneous coordinates for efficient matrix operations. Consider discussing performance optimizations such as vectorized operations that leverage MATLAB's matrix computation strengths, or any custom functions you've developed for specific transformation scenarios. Comparing your approach with built-in MATLAB functions like fitgeotrans() could highlight unique aspects of your implementation. By elaborating on these technical details, you'll provide valuable insights into your affine transformation methodology, helping other developers understand the algorithmic choices and implementation strategies that make your programs effective for geometric image processing tasks.