MULTI-SCALE HARRIS-PIIFD FEATURES FOR REGISTRATION OF VISIBLE AND INFRARED IMAGES

This paper aims at providing visible and infrared images registered in geometric space for image fusion. Focusing on the characteristics and differences of visible and infrared images, a feature-based registration algorithm is implemented. The key technologies include image scale-space for implementing multi-scale properties, Harris corner detection for keypoints extraction, and partial intensity invariant feature descriptor (PIIFD) for keypoints description. Eventually, a multi-scale Harris-PIIFD image registration algorithm framework is proposed. The experimental results of four sets of representative real data show that the algorithm has excellent, stable performance in visible and infrared image registration, and can achieve accurate spatial alignment, which has strong practical application value and certain generalization ability.