이미지 등록부터 창의적 효과까지 다양한 응용을 가능하게 하는 기하학적 이미지 조작의 필수 기법입니다.
Geometric Transformations
Affine Transformations
Affine transformations preserve parallel lines and include:
- Translation: Moving images
- Rotation: Rotating images around a point
- Scaling: Resizing images
- Shearing: Distorting images along axes
Projective Transformations
Projective (homography) transformations can represent perspective changes, useful for:
- Image stitching
- Camera calibration
- Perspective correction
Image Warping
Image warping involves non-linear transformations that can:
- Correct lens distortion
- Create artistic effects
- Align images from different viewpoints
Warping Methods
- Thin Plate Spline (TPS): Smooth warping
- Mesh-based Warping: Control point-based deformation
- Optical Flow: Motion-based warping
Applications
- Medical Imaging: Image registration and alignment
- Computer Graphics: Texture mapping and morphing
- Photography: Perspective correction and panorama creation
- Computer Vision: Feature matching and tracking
Implementation
Modern implementations use:
- Matrix operations for transformations
- Interpolation methods (bilinear, bicubic)
- GPU acceleration for real-time processing
Conclusion
Image transformation and warping are powerful tools that enable sophisticated image manipulation and analysis across many domains.
PREVIOUSImage Processing Basics