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Image registering method based on manifold subspace

An image registration and subspace technology, which is applied in graphics and image conversion, image analysis, image data processing, etc., can solve the problems of mutual information without considering the image space and direction information, and the algorithm falls into local extremum, etc., to achieve Strong robustness, improved registration accuracy, and high-precision effects

Inactive Publication Date: 2009-12-23
SOUTHERN MEDICAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, the method of mutual information does not consider the spatial and directional information of the image, and the algorithm will fall into local extremum when the spatial resolution of the image is low and there is noise influence.

Method used

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  • Image registering method based on manifold subspace
  • Image registering method based on manifold subspace
  • Image registering method based on manifold subspace

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Embodiment Construction

[0030] The specific embodiment of the present invention is as Figure 1 ~ Figure 4b As shown, in this embodiment, a set of head T1-weighted and T2-weighted MR data (see Figure 3a~3h ), set forth in detail the working steps of the present invention.

[0031]In step 1, the T1-weighted and T2-weighted MR image data are respectively read in as the target image and the floating image to be registered. By linear transformation (I-I min )×255 / (I max -I min ) Transform the gray value of all pixels of the target image and the floating image into the range of 0 to 255, where I is the gray value of the image, that is, when the T1-weighted MR image is linearly transformed, I is the gray value of the T1-weighted MR image When linearly transforming the T2-weighted MR image, I is the gray value of the T2-weighted MR image. Then use median filter to preprocess the input image to reduce noise.

[0032] Step 2, using the odd and even orthogonal Log-Gabor wavelets on different scales to c...

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Abstract

The invention discloses an image registering method based on a manifold subspace, comprising the following steps: (1) respectively reading in a target image and a floating image to be registered; (2) respectively calculating the phase consistency of the target image and the floating image to be registered in different scales and directions; (3) fusing information with the phase consistency in different scales and directions by using a manifold subspace method; (4) looking main-phrase consistency information of the target image and the floating image as fuzzy congregation, adopting nearness in fuzzy mathematical, and calculating the fuzzy similarity of the main-phrase consistency information; (5) using the fuzzy similarity of the main-phrase consistency information as an object function, and adopting powell algorithm to search a maximum value of the object function; finishing the registering when the fuzzy similarity reaches maximum. Under the conditions of lower image space resolution, noise influence, and the like, the image registering method has high registering precision and strong robustness.

Description

technical field [0001] The invention relates to a new method for image registration, in particular to an image registration method based on a manifold subspace. The method is suitable for registration of graphic images of medicine, meteorological satellites, aerospace and the like. Background technique [0002] Image registration is an important aspect of the application of modern image processing technology. It refers to the spatial geometric transformation of two or more images at different times, different fields of view, and different imaging modes, so that pixels representing the same position and structure or Voxels can be geometrically matched and corresponding. The main purpose of image registration is to remove or suppress the geometric inconsistency between the image to be registered and the reference image, including translation, rotation, scaling and elastic deformation. It is a key step in image analysis and processing, and a necessary prerequisite for image co...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T3/00
CPCG06K9/6214G06K9/6203G06V10/7515G06V10/76
Inventor 卢振泰江贵平陈武凡
Owner SOUTHERN MEDICAL UNIVERSITY
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