Image Processing Toolbox

Image Registration and Geometric Transformations

Image registration is important in remote sensing, medical imaging, and other applications in which images must be aligned to enable quantitative analysis or qualitative comparison. Image Processing Toolbox supports intensity-based image registration, which automatically aligns images using relative intensity patterns.

The toolbox also supports control-point image registration, which requires the manual selection of control points in each image to align two images.

Additionally, Computer Vision System Toolbox™ supports feature-based image registration, which automatically aligns images using feature detection, extraction, and matching followed by geometric transformation estimation.

Intensity-Based Image Registration

Intensity-based image registration maps specific pixels in separate images based on relative intensity. This registration technique is often well suited for medical imagery when it’s necessary to automate large collections of images.

Control-Point Image Registration

Control-point image registration requires the manual selection of control points in two images in order to align them. This method of registration is best suited for images that have distinct features such as satellite imagery.

Geometric Transformations

Geometric transformations are useful for tasks such as rotating an image, reducing its resolution, correcting geometric distortions, and performing image registration. Image Processing Toolbox supports simple operations, such as resizing, rotating, and cropping, as well as more complex 2D geometric transformations, such as affine and projective.

The toolbox also provides a flexible framework for creating and applying customized geometric transformations and interpolation methods for N-dimensional arrays.

Next: Large Image Processing and Performance Acceleration

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