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Image Registration in Computer Vision
In the ever-evolving realm of computer vision, where pixels transform into intelligence and images unlock a world of possibilities, there exists a remarkable yet often overlooked technique that acts as the cornerstone of numerous groundbreaking applications that is image registration. In in this post we explore what is image registration, steps invovled in it, example with python implementation and some limitations. So let’s start with defination.
What is Image Registration?
Image registration is a fundamental technique in computer vision and medical imaging that involves aligning two or more images of the same scene or object taken from different perspectives, at different times, or with different sensors. The goal of image registration is to find a transformation that maps one image (the source or reference image) to another image (the target image) so that they are geometrically aligned. This alignment is crucial for various applications, such as object tracking, image fusion, stereo vision, and medical image analysis.
Key Concepts in Image Registration
- Transformation: Image registration typically involves finding a mathematical transformation that maps points in the source image to corresponding points in the target image. Common transformations include translation (shifting)…