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Non-characteristic extraction and non-parameter-based 3D image registration new algorithm

An image registration, non-parametric technology, applied in image analysis, image data processing, computing, etc., can solve problems such as relying on algorithm initialization quality and inconvenient feature set extraction.

Inactive Publication Date: 2016-11-16
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

Obviously, this method has several disadvantages: (1) It is inconvenient to extract relevant feature sets; (2) It is limited by the use of parametric geometric transformation; (3) It is heavily dependent on the initialization quality of the algorithm; (4) It is easy to obtain local extremes. small, not the global minimum

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  • Non-characteristic extraction and non-parameter-based 3D image registration new algorithm

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Embodiment Construction

[0048] Below in conjunction with accompanying drawing and example the invention is further described:

[0049] Our proposed image registration procedure consists of five main steps, which are described in detail as follows:

[0050] Step 1: Use an edge detector to detect the reference image Z to be observed R edge voxels;

[0051] Step 2: For the voxel (x, y, z) of the given reference image R, take the voxel as the center and the radius is r 1 The circular neighborhood of is expressed as o(x,y,z; r 1 ), if in o(x,y,z; r 1 The number of edge voxels detected in ) is less than [nr 1 ] (here, [s] is used to represent the integer part of s), then (x, y, z) is considered as a continuous voxel of the reference image R, in this case, if the formula (6) etc. is The right-hand denominator (after M is replaced by R) is greater than or equal to a pre-specified threshold μ n , then (x,y,z) is considered to be a local non-degenerate voxel of R; otherwise, it is a local degenerate voxe...

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Abstract

The invention relates to the technical field of image fusion and image sequence monitoring, and in particular to a non-characteristic extraction and non-parameter-based 3D image registration new algorithm. The algorithm comprises the following steps of: detecting edge voxels of a to-be-observed reference image ZR by using an edge detector; judging voxels (x, y, z) of a given reference image R; carrying out geometric transformation on local non-degradation bodies of R; defining T (x, y, x) by using local degradation points of R; and outputting geometric transformation parameters. The algorithm is flexible in local smoothing, so that the geometric transformation related to the algorithm does not need any parametric form or other global law conditions, and is practical and effective in practice.

Description

technical field [0001] The invention relates to technical fields such as image fusion and image sequence monitoring, and in particular relates to a new algorithm based on non-feature extraction and non-parameter 3D image registration. Background technique [0002] In many image applications, in order to complete the fusion and difference detection of image objects, we need to compare multiple images of the same object. For example, in order to closely monitor the tumor growth of a patient with a brain tumor, we need to compare MRI images of the patient's brain taken at different times. Because when capturing images, the relative positions of the imaging device and the image objects are almost not the same at different times. For the alignment to be effective, we need to quickly complete the geometric matching of the related images. Image registration (IR) is for this purpose, and it is a fundamental task in many image applications including medical imaging, remote sensing ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 宋华军周光兵任鹏
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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