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Multi-source image registering method on the basis of contour under rigid body transformation

A technology of rigid body transformation and source image, which is applied in image coding, image data processing, image and image conversion, etc. It can solve the problems affecting the registration accuracy and the contour shapes are not exactly the same, and achieve a small amount of computation and high registration accuracy. Effect

Inactive Publication Date: 2004-11-10
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

There are other algorithms that use the centroid of the closed contour and the corner of the open contour as control points for registration, but due to the difference in the imaging properties of multi-source sensors, the shape of the contour formed by the same object is not exactly the same. Corner points as control points will affect the registration accuracy

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  • Multi-source image registering method on the basis of contour under rigid body transformation
  • Multi-source image registering method on the basis of contour under rigid body transformation
  • Multi-source image registering method on the basis of contour under rigid body transformation

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Embodiment Construction

[0026] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0027] 1. Image preprocessing and contour extraction

[0028] There are different degrees of noise pollution in multi-source images, and these noises greatly interfere with the contour extraction of images. Since the median filter can better remove the noise in the image and better preserve the edges, the present invention first adopts the median filter method to preprocess the input multi-source images respectively.

[0029] Contour extraction includes edge detection and edge linking. First, the Canny operator is used to detect the edge of the preprocessed input image, and then according to the spatial position relationship of the edge pixels, the adjacent edge pixels are connected to form the contour of the region (including the closed contour and the open c...

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Abstract

The invention relates to an outline-based multi-source image aligning method under a rigid-body transformation, performing noise filter pretreatment on input multi-source images, respectively and then edge detection, linking their respective edges to obtain the closed or open outlines, matching the closed ones by partial variables and the open ones by chain codes, then converting the open outline pairs into the closed outline pairs, and finally finding the centers of mass and minimum moment of inertia axes of all the closed outlines, and according to this, obtaining the rotation and translation quantities between two images to be aligned and implementing the alignment. It can be applied to remote sensing, safety monitoring, airborne multi-source image fusion, image tracking, and other civil or military fields.

Description

Technical field: [0001] The invention relates to a contour-based multi-source image registration method under rigid body transformation, which is used to solve the problem of multi-source image registration with rigid body deformation. And other military fields are widely used. Background technique: [0002] Image registration is the process of matching two or more images of the same scene taken at different times, from different sensors, or from different perspectives. To register an image with another image, a series of coordinate transformations need to be performed on an image. These transformations can be divided into rigid body transformation, affine transformation, projective transformation and nonlinear transformation. If the distance between two points in the first image remains unchanged after being transformed into the second image, this transformation is called rigid body transformation, that is to say, there are only rotation and displacement. Currently commo...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06T9/20
Inventor 敬忠良李振华孙韶媛
Owner SHANGHAI JIAO TONG UNIV
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