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Multi-feature and multi-level high-precision registration method for visible light and infrared images

An infrared image and visible light technology, applied in the field of image processing, can solve problems such as restricting practicability, difficulty in obtaining, and serious dependence on initial values, achieving good economic benefits, good versatility and practicability, and promoting wide application.

Inactive Publication Date: 2015-08-19
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, the mutual information-based visible light and infrared image registration method has a fatal flaw: it is heavily dependent on the initial value
This shortcoming severely limits its practicality, since it is difficult to automatically obtain such initial value information from visible and infrared images

Method used

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  • Multi-feature and multi-level high-precision registration method for visible light and infrared images
  • Multi-feature and multi-level high-precision registration method for visible light and infrared images
  • Multi-feature and multi-level high-precision registration method for visible light and infrared images

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specific Embodiment approach

[0030] According to a specific implementation manner of the present invention, the multi-scale decomposition in this embodiment is realized by down-sampling. Although multi-scale decomposition can be realized by various methods such as wavelet pyramid and Gaussian pyramid, the calculation amount is much larger than that of downsampling; and in the fine registration stage, SIFT features must be extracted from the original image. Therefore, the multi-scale decomposition method based on downsampling can greatly reduce the amount of computation while maintaining the registration accuracy.

[0031] Step S2: rough registration. Extract SIFT (Scale-invariant Feature Transform, scale-invariant feature transform) features, multi-scale corner features and surface features on low-resolution image pairs, use the nearest neighbor method to match SIFT features and remove outliers, use the matched SIFT feature pairs and GDBICP method to get the initial transformation model;

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Abstract

The invention discloses a visible light image and infrared image registering method which comprises the following steps: performing multi-scale decomposition on a visible light image and an infrared image to obtain low-resolution visible light image and infrared image; extracting SIFT (scale invariant feature transform) features, multi-scale corner features and surface point features from the low-resolution image pair; matching the SIFT features and removing exterior points; obtaining an initial transformation model by use of the matched SIFT feature pair, wherein the transformation model refers to any geometric transformation relationship between the infrared image and a high-spectrum image; extracting the multi-scale angular point features and the surface point features based on an image block pair on the original image pair by use of the geometric constraint provided by the initial transformation model; determining a more accurate transformation model according to the initial transformation model and the multi-scale angular point features and surface point features; and transforming the infrared image according to the transformation model to obtain the transformed infrared image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a registration method of remote sensing images, in particular to a registration method of visible light and infrared images. The invention can be widely applied to the registration method of remote sensing images acquired by aerospace and aviation sensor platforms. Background technique [0002] The spectrum of infrared images is located outside the visible light band, and contains many features outside the visible light band, which are of great significance for accurate target identification. For example, the same tank in a maneuvering state and a resting state cannot be distinguished on visible light images, but the temperature information reflected in infrared images can correctly identify the state of the tank. Therefore, comprehensively utilizing the complementary characteristics of different sensors to fuse visible light and infrared images plays an imp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 霍春雷郭建恩潘春洪樊彬杜鹃常民
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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