Infrared and Visible Image Registration Using Edge Information and Chain Coding

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Resource Overview

This program implements infrared and visible image registration by leveraging edge information from both image types. The implementation performs edge detection to identify closed contours, then utilizes chain code representation of contours for precise image alignment. Key processes include Canny edge detection, contour extraction algorithms, and chain code-based feature matching.

Detailed Documentation

In this implementation, we perform image registration using edge information from both infrared and visible light images. The process begins with edge detection (typically using algorithms like Canny or Sobel operators) to identify closed contours within the images. The detected contours are then represented using chain codes - a boundary description method that encodes contour direction sequences. This chain code representation enables efficient contour matching between infrared and visible images through similarity comparison algorithms. The registration approach ensures accurate image alignment while effectively utilizing complementary information from both spectral bands. By implementing this contour-based methodology with chain code analysis, we achieve superior registration precision, thereby enhancing overall image processing performance for multi-spectral applications.

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