Multimodal image registration algorithm based on Shape Context and scale-invariant feature transform

wang bingjian; lu gang; huang yang; li qing; qin hanlin

Volume 23 Issue 12

Feb. 2016

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Article Navigation > High Power Laser and Particle Beams > 2011 > 23(12): 28-29

xiao nan, jiang zong-fu, hua wei-hong, et al. Effects of pulverized Mg powders on pyrotechnic pumping source[J]. High Power Laser and Particle Beams, 2008, 20.

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wang bingjian, lu gang, huang yang, et al. Multimodal image registration algorithm based on Shape Context and scale-invariant feature transform[J]. High Power Laser and Particle Beams, 2011, 23: 28-29.

xiao nan, jiang zong-fu, hua wei-hong, et al. Effects of pulverized Mg powders on pyrotechnic pumping source[J]. High Power Laser and Particle Beams, 2008, 20.

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Multimodal image registration algorithm based on Shape Context and scale-invariant feature transform

1.
School of Technical Physics,Xidian University,Xi’an 710071,China;
2.
Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100029,China

Publish Date: 2011-12-14

Abstract

Abstract

An image registration method for multimodal images is proposed. This method is a combination of modified scale-invariant feature transform(SIFT) feature extraction algorithm and Shape Context feature descriptor. Feature points of multimodal images are extracted by modified SIFT feature extraction algorithm. Then each feature point is described by modified shape context descriptor, which forms a feature vector from the orientation histograms of sub-region around each feature point. After feature points matching with Euclidean distance as measure, the RANSAC algorithm is used to eliminate wrong corresponding pairs. At last, multimodal images registration is achieved by affine transformation and bilinear interpolation. Experimental results for registration of infrared images and vis
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