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Improved SIFT-Delaunay-based Heterologous image registration method

A heterogeneous image and image technology, applied in the field of heterogeneous image registration, can solve the problems of loss of image edge information, unsuitable registration algorithm, etc., and achieve the effect of strengthening correlation and eliminating misregistration

Pending Publication Date: 2020-12-01
XIDIAN UNIV
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Problems solved by technology

Among them, the Roberts gradient operator is very sensitive to the coherent speckle noise generated by the SAR image, and the Prewitt gradient operator and the Sobel gradient operator have a certain improvement in the anti-noise performance, but due to their smoothing principle, the edge information of the image will be lost, so Registration algorithms that are not applicable to visible light images and SAR images

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  • Improved SIFT-Delaunay-based Heterologous image registration method
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  • Improved SIFT-Delaunay-based Heterologous image registration method

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Embodiment Construction

[0024] Embodiments of the present invention will be described in detail below in conjunction with examples, but those skilled in the art will understand that the following examples are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention.

[0025] In the embodiment of the present invention, the construction of the Gaussian pyramid scale space based on different scale space factors is as follows: figure 1 shown. The purpose of constructing the scale space is to simulate the multi-scale features of the image in vision, and detect the visual features that are invariant to the scale change of the image, so that the finally extracted features are resistant to scaling. An image can be expressed as the convolution of the image and the variable Gaussian kernel function in the scale space, and the Gaussian pyramid (Laplacian of Gaussian, LOG) operator is used to express as follows:

[0026]

[0027] In the formul...

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Abstract

The invention relates to the technical field of image registration. According to the improved SIFT-Delaunay-based heterogeneous image registration method, PPB filtering is performed on an SAR image, which is an airspace filtering algorithm, so that coherent speckle noise generated by the SAR image can be removed, and edge characteristics can be effectively maintained. Then, a method the same as that of a traditional SIFT algorithm is adopted during feature point extraction, an improved exponential weighted mean ratio operator is adopted for feature point gradient calculation, and high-precision edge strength information is obtained. And finally, rough registration is performed by adopting an Euclidean distance in the registration process of the feature points, fine registration of the feature points is performed by adopting a Delaunay triangular mesh method, and the Delaunay triangular mesh has uniqueness and has relatively good invariance to translation, rotation and geometric distortion of the image.

Description

technical field [0001] The invention relates to the technical field of heterogeneous image registration, in particular to a heterogeneous image registration method based on improved SIFT-Delaunay. Background technique [0002] Image registration technology is the basic part of image processing. Heterogeneous image registration technology can make up for the deficiency of single sensor image in image registration technology, and it is a key technology in the current image processing field. The nonlinear gray level difference between heterogeneous images will seriously affect the performance of the registration algorithm. The traditional SIFT algorithm has scale invariance, rotation invariance and illumination invariance, and is widely used in practical engineering applications. Due to the multiplicative noise in the SAR image, when the SAR image acquires a gradient with a large amplitude in a high-reflectivity area, the traditional SIFT (Scale Invariant Feature Transform) wil...

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Application Information

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IPC IPC(8): G06T7/33
CPCG06T7/33G06T2207/10044G06T2207/20024G06T2207/20016G06T2207/20182
Inventor 梁毅刘倩李聪
Owner XIDIAN UNIV
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