Method for multisource different-type image registration based on region features

An image registration and regional feature technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as low registration accuracy, complex algorithms, registration failures, etc., to overcome complex calculations, accurate matching parameters, The effect of eliminating the influence of noise

Inactive Publication Date: 2014-02-12
ZHONGBEI UNIV
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Problems solved by technology

[0008] In order to solve the problems of the existing method of image registration by extracting image contour features, the algorithm is complex, time-consuming, and the registration accuracy is not high, resulting in mismatching and registration failure, the present invention provides a multi- Source Heterogeneous Image Registration Method

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  • Method for multisource different-type image registration based on region features
  • Method for multisource different-type image registration based on region features
  • Method for multisource different-type image registration based on region features

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Embodiment 1

[0034] Embodiment 1: select the visible light image as the reference image, and the SAR image as the image to be registered;

[0035] A multi-source heterogeneous image registration method based on regional features, comprising the following steps:

[0036]S1: Carry out k-means clustering processing on the reference image and the image to be registered separately, and segment the closed area of ​​the reference image and the image to be registered. The basic idea of ​​the k-means clustering algorithm is to select the reference image and the image to be registered respectively The k initial clustering centers of the image divide all the objects in the data set into k categories. According to the principle of the minimum distance, through iterative calculations, each type of center is updated successively until the algorithm converges to a certain end condition, and the clustering is output As a result, for two images, x * Represents the gray value of an image pixel, Represent...

Embodiment 2

[0057] Embodiment 2: select the SAR image as the reference image, and the visible light image as the image to be registered;

[0058] A multi-source heterogeneous image registration method based on regional features, comprising the following steps:

[0059] S1: Carry out k-means clustering processing on the reference image and the image to be registered separately, and segment the closed area of ​​the reference image and the image to be registered. The basic idea of ​​the k-means clustering algorithm is to select the reference image and the image to be registered respectively The k initial clustering centers of the image divide all the objects in the data set into k categories. According to the principle of the minimum distance, through iterative calculations, each type of center is updated successively until the algorithm converges to a certain end condition, and the clustering is output As a result, for two images, x * Represents the gray value of an image pixel, Represen...

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Abstract

The invention relates to a method for image registration in the field of image processing, in particular to a method for multisource different-type image registration based on region features. The method comprises the steps that clustering and division are conducted on a benchmark image and an image to be registered, so that division regions of the two images are obtained; closed outlines of the two images are extracted from the division regions according to mathematical morphology; deletion is conducted on the closed outlines, wherein matching strategies including a moment variant distance mean value, the variance restriction mechanism and consistency check are introduced according to the outline invariant moment theory, and therefore an optimally-matched outline pair is obtained; with mass points of the optimal closed outlines serving as control points, registration parameters are worked out, and therefore registration of the two images is achieved. By the adoption of the method for multisource different-type image registration based on the region features, the defects that an existing algorithm is complicated in calculation and prone to leading to mistaken matching and causing low registration precision and even registration failure are overcome. The method for multisource different-type image registration based on the region features can be applied to the civil fields or the military fields such as safety monitoring, onboard multisource image fusion and image target recognition and tracking.

Description

technical field [0001] The invention relates to an image registration method in the field of image processing, in particular to a multi-source heterogeneous image registration method based on regional features. Background technique [0002] Image registration refers to obtaining the coordinate transformation parameters between images according to the similarity measurement criterion, so that two or more images of the same scene acquired from different sensors, different perspectives and different times can be transformed into the same coordinate system. By extracting and synthesizing a variety of image data from different sensors, a more accurate, comprehensive and reliable image description of the target in the same area can be obtained, which is beneficial to further analysis and processing of the image, change detection, target recognition or tracking. The processing of image fusion and target recognition of different sensors must be carried out under the premise of accur...

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06T7/00
Inventor杨风暴王志社彭智浩冯裴裴牛涛
OwnerZHONGBEI UNIV