A new image registration algorithm for infrared images and electrooptical images is proposed in this paper. This algorithm is a combination of SIFT feature extraction algorithm and GLOH feature descriptor. Salient points of infrared images and electro-optical images are extracted along edges of images by using SIFT feature extraction algorithm. Then each salient point is described by using modified GLOH descriptor that formed a feature vector from the orientation histogram of sub-region around each salient point. After salient points matching by using Euclidean distance, RANSAC algorithm is used to eliminate wrong corresponding pairs. Then registration of infrared images and electro-optical images is achieved by affine transformation and bilinear interpolation. Experimental results for registration of infrared images and electro-optical images show that this algorithm has a good registration result. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Wang, B., Li, Y., Lu, Q., Fan, L., Li, Q., Qin, H., … Liu, S. (2012). Image registration algorithm based on modified GLOH descriptor for infrared images and electro-optical images. In Lecture Notes in Electrical Engineering (Vol. 128 LNEE, pp. 365–370). Springer Verlag. https://doi.org/10.1007/978-3-642-25792-6_55
Mendeley helps you to discover research relevant for your work.