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Image registration method based on improved scale invariant feature transform (SIFT) algorithm and Lissajous figure track

An image registration and image technology, applied in image analysis, image data processing, calculation, etc., can solve the problems of remote sensing image alignment instability, low correct matching rate, geometric deformation and sensitivity to image gray level changes, etc.

Inactive Publication Date: 2013-05-01
SHANGHAI INST OF TECH
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AI Technical Summary

Problems solved by technology

However, due to the shortcomings of the algorithm that is sensitive to geometric deformation and image gray level changes,
As a result, it is very unstable when it is used for remote sensing image alignment, and the correct matching rate between feature points is extremely low.

Method used

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  • Image registration method based on improved scale invariant feature transform (SIFT) algorithm and Lissajous figure track
  • Image registration method based on improved scale invariant feature transform (SIFT) algorithm and Lissajous figure track
  • Image registration method based on improved scale invariant feature transform (SIFT) algorithm and Lissajous figure track

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Experimental program
Comparison scheme
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Embodiment Construction

[0014] 1. Improved SURF and SIFT algorithms

[0015] 1. Detect and match with SURF or SIFT algorithm from two images

[0016] 2. Two sets of feature points, the matching feature point pairs are sorted from high to low according to their similarity.

[0017] 3. Detect the contour information or edge information of the two images.

[0018] 4. Calculate the corresponding TAR graph for a pair of matching feature point pairs and a pair of nearby edges. The calculation of the TAR graph is based on the fact that the affine invariance is TAR, which is calculated based on the coordinates of the three vertices of the triangle. If the three vertices of the triangle are: p B (x b ,y b ), p M (x m ,y m ), p E (x e ,y e ), then we have

[0019] TAR ( p B , p M , p E ) = ...

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Abstract

The invention relates to an image registration method based on an improved scale invariant feature transform (SIFT) algorithm and a Lissajous figure track, which belongs to the technical field of image aligning and registering for computers and can be used for aligning and registering remote sensing, medical and ordinary images. Boundary information which is relatively stable in a plurality of modes is combined, so that the latent defects of the SIFT / speeded up robust features (SURF) algorithm are overcome. The correct feature matching rate of the SIFT / SURF algorithm in a multi-mode image aligning algorithm is increased effectively, so that the stability of an aligning algorithm is enhanced. A Lissajous figure track-based similarity measuring function is provided to enhance image aligningaccuracy. The similarity measuring function has high stability and higher aligning accuracy. An image aligning algorithm with higher stability and higher aligning accuracy is constructed on the basisof the improved SIFT / SURF algorithm and the provided Lissajous figure track-based similarity measuring function.

Description

Technical field: [0001] The method belongs to the field of computer image alignment and registration. It can be used for alignment and registration of remote sensing, medical and general images. Background technique: [0002] The SIFT and SURF algorithms are used to detect feature points from two related images and perform matching operations. However, due to the shortcomings of the algorithm is sensitive to geometric deformation and image gray level changes. As a result, it is very unstable when it is used for remote sensing image alignment, and the correct matching rate between feature points is extremely low. In order to solve these two problems, this paper proposes an improved SIFT (SURF) algorithm and similarity measure function. Invention content: [0003] When applying SIFT algorithm or SURF algorithm to align remote sensing images, there are two very big defects. These two deficiencies are mainly due to the multimodality of images. This method combines edge an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 宋智礼
Owner SHANGHAI INST OF TECH