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Image registration device based on patch characteristic description

A feature description and image registration technology, applied in the field of image processing, can solve problems such as accuracy, efficiency, stability and adaptability that cannot fully meet application requirements and registration difficulties

Inactive Publication Date: 2016-12-07
董超超
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of image registration, due to the large visual difference in the imaging results of the same scene, it brings great difficulties to the registration, and the existing registration algorithms are not good in terms of accuracy, efficiency, stability and adaptability. does not fully meet the application requirements

Method used

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  • Image registration device based on patch characteristic description
  • Image registration device based on patch characteristic description
  • Image registration device based on patch characteristic description

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] see figure 1 , the image registration device of this embodiment includes a preprocessing module, a feature detection module, a feature description module, a feature matching module and a space transformation module;

[0043] (1) The preprocessing module is used to convert the reference image and the image to be registered into a grayscale image, and the conversion formula is defined as:

[0044] I(x,y=k(G(x,y)+R(x,y)+B(x,y))+2k(G(x,y)+R(x,y))+3k(x ,y)

[0045] Among them, I(x, y) represents the pixel gray value of the image at the coordinates (x, y), G(x, y), R(x, y), B(x, y) represent the coordinates (x, y) respectively The red, green and blue intensity values ​​at y), k is the set weight factor, and the value range of k is [0.08,0.12];

[0046] (2) feature detection module, including local area feature detection sub-module and plaque feature detection sub-module, said local area

[0047] The domain feature detection submodule is used to detect the local area feature...

Embodiment 2

[0073] see figure 1 , the image registration device of this embodiment includes a preprocessing module, a feature detection module, a feature description module, a feature matching module and a space transformation module;

[0074] (1) The preprocessing module is used to convert the reference image and the image to be registered into a grayscale image, and the conversion formula is defined as:

[0075] I(x,y)=k(G(x,y)+R(x,y)+B(x,y))+2k(G(x,y)+R(x,y))+3k( x,y)

[0076] Among them, I(x, y) represents the pixel gray value of the image at the coordinates (x, y), G(x, y), R(x, y), B(x, y) represent the coordinates (x, y) respectively The red, green and blue intensity values ​​at y), k is the set weight factor, and the value range of k is [0.08,0.12];

[0077] (2) feature detection module, including local area feature detection sub-module and plaque feature detection sub-module, said local area

[0078] The domain feature detection submodule is used to detect the local area feat...

Embodiment 3

[0104] see figure 1 , the image registration device of this embodiment includes a preprocessing module, a feature detection module, a feature description module, a feature matching module and a space transformation module;

[0105] (1) The preprocessing module is used to convert the reference image and the image to be registered into a grayscale image, and the conversion formula is defined as:

[0106] I(x,y)=k(G(x,y)+R(x,y)+B(x,y))+2k(G(x,y)+R(x,y))+3k( x,y)

[0107] Among them, I(x, y) represents the pixel gray value of the image at the coordinates (x, y), G(x, y), R(x, y), B(x, y) represent the coordinates (x, y) respectively The red, green and blue intensity values ​​at y), k is the set weight factor, and the value range of k is [0.08,0.12];

[0108] (2) feature detection module, including local area feature detection sub-module and plaque feature detection sub-module, said local area

[0109] The domain feature detection submodule is used to detect the local area feat...

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Abstract

The invention provides an image registration device based on patch characteristic description, including a pretreatment module, a characteristic detection module, a characteristic description module, a characteristic coupling module and a space transformation module. The invention is advantaged in that the image matching precision is relatively high and the matching speed is relatively fast.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image registration device based on plaque feature description. Background technique [0002] Image registration is the process of spatially aligning two or more images of the same scene taken at different times, from different viewpoints, or with different sensors. Its main purpose is to eliminate the geometric deformation caused by different imaging conditions between the reference image and the image to be registered, so that the two have spatial consistency. Image registration algorithms in the prior art can reduce the uncertainty of scene understanding by enhancing the complementarity between information. In the process of image registration, due to the large visual difference in the imaging results of the same scene, it brings great difficulties to the registration, and the existing registration algorithms are not good in terms of accuracy, efficiency, s...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 不公告发明人
Owner 董超超