Infrared and Visible Image Registration
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Resource Overview
Detailed Documentation
This program is designed to achieve accurate registration between infrared and visible images through edge-based feature matching. The implementation begins with image edge detection using algorithms like Canny or Sobel operators to identify closed contours in both image modalities. These contours are then represented using chain codes (Freeman chain codes) to capture their geometrical properties. The registration process involves matching corresponding contours between infrared and visible images through chain code comparison and spatial transformation optimization. Key functions include contour extraction, chain code generation, and similarity metric calculation for alignment. The objective is to enhance registration accuracy and precision, thereby providing a more reliable foundation for subsequent image processing and analysis tasks such as image fusion or multi-spectral object recognition.
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