Image registration method based on remarkable visual features
An image registration and reference image technology, applied in the field of image processing, can solve the problem of low image registration quality
Inactive Publication Date: 2015-04-08
XIDIAN UNIV
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[0006] Aiming at the problem of low image registration quality in the prior art, the purpose of the present invention is to provide an image registration method that can improve the quality of image registration, by simulating the visual attention mechanism of the human eye, using the brightness and direction information of the image , extract the stable salient feature points in the image, and use these feature points to achieve precise image registration
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[0058] The main function of visual attention is to quickly point the gaze to the "interesting" salient features in the environment, focus limited resources on useful information points and analyze them in depth, and ignore other irrelevant parts. By simulating the visual attention mechanism, the method of the invention extracts the salient features "interesting" of the human eye in the image as stable feature points on the image, then describes the feature points, and finally performs matching to realize precise image registration.
[0059] figure 1 It is a flowchart of the method of the present invention, and the steps of the image registration method of the present invention are as follows:
[0060] Step 1. Input the reference image I 0 and the image to be registered I 0 ';
[0061] Step 2, extract the reference image I 0 The visually salient feature point set FP 1 and the visually salient feature point set FP of the image to be registered 2 ;
[0062] Step 3. Calcula...
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An image registration method based on remarkable visual features comprises the steps of inputting a reference image and an image to be registered; extracting a remarkable visual feature point set of the reference image and a remarkable visual feature point set of the image to be registered; calculating the directions of all remarkable visual feature points of the reference image and all remarkable visual feature points of the image to be registered and description vectors of the feature points according to the directions of the remarkable visual feature points to obtain a feature description vector set of the reference image and a feature description vector set of the image to be registered; calculating distances between the feature description vectors of the reference image and the feature description vectors of the image to be registered and conducting matching on the feature points of the reference image and the feature points of the image to be registered; removing mistaken matching pairs, obtaining correct matching pairs in the reference image and the image to be registered, calculating an affine transformation matrix between the reference image and the image to be registered according to the coordinates of the correct matching pairs between the two images and conducting corresponding transformation on the image to be registered according to the affine transformation matrix so as to achieve image registration.
Description
technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image registration method based on visual salient features, which extracts salient feature information of images by simulating the visual attention mechanism of human eyes to realize image registration. Background technique [0002] Image registration is the process of spatially aligning two or more images of the same scene taken from different times, different perspectives, and different sensors. It is a necessary preprocessing step for many image processing applications. In military, remote sensing, medicine, computer vision and many other fields, image registration is widely used. [0003] At present, there are many image registration methods for different types of images and data, and correspondingly, many kinds of criteria for classifying the methods have been formed. Common image registration methods mainly fall into two categories: registration met...
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CPCG06T7/33
Inventor 王炳健吴飞红刘佃忠马林易翔李敏郝静雅周慧鑫秦翰林
Owner XIDIAN UNIV