Infrared image homologous registration method based on improved angular point main direction distribution

An infrared image, main direction technology, applied in the field of image processing, can solve the problem of low registration accuracy of infrared homologous images

Active Publication Date: 2020-06-19
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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[0004] The invention provides a method for homologous registration of infrared images based on the distribution of the main dir...

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  • Infrared image homologous registration method based on improved angular point main direction distribution
  • Infrared image homologous registration method based on improved angular point main direction distribution
  • Infrared image homologous registration method based on improved angular point main direction distribution

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specific Embodiment approach

[0056] Such as figure 1 As shown, the present invention provides a method for homologous registration of infrared images based on improved corner point main direction assignment, including calculating multiple corner points in the two infrared images to be registered, and improving the corner point main direction assignment method, assign the main direction to each corner point, establish the matching relationship between the descriptor and the main direction, so as to realize the rotation invariance of the image, and then obtain the local intensity feature invariant descriptor corresponding to each corner point, that is, the PIIFD descriptor, and finally On the basis of extracting multiple PIIFD descriptors, an infrared image to be registered and the reference infrared image are registered using the nearest neighbor first BBF combined with bilateral matching algorithm. The specific implementation method comprises the following steps:

[0057] Step 1, image preprocessing, an...

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Abstract

The invention belongs to the technical field of image processing, and discloses an infrared image homologous registration method based on improved angular point main direction distribution. The methodcomprises the following steps: respectively calculating a plurality of angular points in two infrared images to be registered; an angular point main direction distribution method is improved; allocating a main direction to each corner point; establishing a matching relationship between the descriptor and the main direction; therefore, the rotation invariance of the image is realized; and finally,on the basis of extracting a plurality of PIIFD descriptors from an infrared image to be registered and a reference infrared image, registration is carried out by adopting a nearest neighbor priorityBBF and combining a bilateral matching algorithm. The whole algorithm is simple and efficient in calculation and high in accuracy, and the problems of high registration difficulty and low registration precision caused by low infrared image resolution and large texture information loss are effectively solved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for homologous registration of infrared images based on improved distribution of main directions of corner points. Background technique [0002] Whether it is binocular stereo vision technology or image fusion, automatic image registration is indispensable. For example, in the medical industry, multiple scanned images of the cranium or eyeball are registered and fused to obtain the clearest image. Diagnostic images, registration and stitching of remote sensing images taken by drones in geological surveying. Professor David Lowe from Canada proposed the Scale Invariant Feature Transformation (SIFT) registration algorithm in 1999, which supports image registration with obvious scale transformation, opened up a new direction in the direction of image registration, and greatly improved the Application scenarios of image registration. Follow-up, many scholars have ...

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Application Information

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IPC IPC(8): G06T7/33
CPCG06T7/33G06T2207/20164G06T2207/10048G06T2207/20021
Inventor 张行方健覃煜晏小卉杨帆张敏何嘉兴张子翀
Owner GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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