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Image registration method for multimodal images
- Source :
- Applied optics. 50(13)
- Publication Year :
- 2011
-
Abstract
- A new image registration method for multimodal images is proposed in this paper. This method is a combination of the modified scale invariant feature transform (SIFT) feature extraction algorithm and the shape-context feature descriptor. Salient points of multimodal images are extracted by using the modified SIFT feature extraction algorithm. Then each salient point is described by using the shape-context descriptor that formed a feature vector from the orientation histograms of the subregion around each salient point. After salient points matching by using Euclidean distance, random sample consensus 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 IR images and electro-optical images show that this method has a good registration result.
- Subjects :
- Computer science
Machine vision
Materials Science (miscellaneous)
Feature vector
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Scale-invariant feature transform
Image registration
Bilinear interpolation
Image processing
Industrial and Manufacturing Engineering
Optics
Histogram
Feature descriptor
Computer vision
Business and International Management
Image fusion
Orientation (computer vision)
business.industry
Kanade–Lucas–Tomasi feature tracker
Euclidean distance
Salient
Computer Science::Computer Vision and Pattern Recognition
Affine transformation
Artificial intelligence
business
Subjects
Details
- ISSN :
- 15394522
- Volume :
- 50
- Issue :
- 13
- Database :
- OpenAIRE
- Journal :
- Applied optics
- Accession number :
- edsair.doi.dedup.....02fd6f7d2d51279cf167137a43554207