Different-source image registration method for X-ray image and laser image

A heterogeneous image and X-ray technology, applied in the field of heterogeneous image registration

Inactive Publication Date: 2011-10-05
NANJING FORESTRY UNIV
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Problems solved by technology

Especially for heterogeneous image registration, there is no general image registration method that can be applied to all heterogeneous image registration problems

Method used

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  • Different-source image registration method for X-ray image and laser image
  • Different-source image registration method for X-ray image and laser image
  • Different-source image registration method for X-ray image and laser image

Examples

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Embodiment Construction

[0073] The following is an example of the need for image registration before the extraction of foreign matter from the meat image by this method to further explain this method:

[0074] Coarse-to-fine image registration based on X-ray and laser image features and mutual information

[0075] 1. Features of X-ray meat images and laser meat images

[0076] Image registration is required before the extraction of foreign matter in meat images. The source of feature images comes from X-ray cameras and laser cameras. Although the two images come from the most common sensors, due to the different imaging mechanisms of the two, it is difficult to find an image registration method suitable for meat. Selection, the difficulty of meat image registration is how to find out the necessary matching feature pairs between meat X-ray image and laser image, so as to determine the image transformation model.

[0077] The gray contrast of the meat image in the X-ray image and the laser image is no...

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Abstract

The invention relates to a different-source image registration method for an X-ray image and a laser image. When an object is irradiated with an X-ray, the X-ray can transmit the object to obtain and collect the X-ray image of the object. When the same object is irradiated with a laser beam, the laser beam can be reflected by the surface of the object so as to obtain and store the laser image of the object. The different-source image registration method comprises the following steps: (1) preprocessing the collected X-ray image and laser image to suppress the interference of noise points of the images; (2) modifying the image edge; (3) respectively extracting the features of the X-ray image and the laser image, and carrying out rough matching; and (4) performing precise registration on the X-ray image with the laser image. Compared with the prior art, the method provided by the invention can achieve accurate and effective registration of the X-ray image and the laser image based on the extreme result of normalized mutual information by firstly carrying out rough registration and then carrying out precise registration of the X-ray image and the laser image of a calibration block with a regular shape.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a heterogeneous image registration method. The so-called 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. Background technique [0002] In the past 20 years, researchers from various countries have conducted in-depth research on image registration methods, and the research on practical algorithms for homologous image registration is relatively mature and complete. Brown summarized the achievements of registration technology before the 1990s in detail, and Zitova summarized the related technologies and methods that have emerged since the 1990s in detail. These image registration studies are basi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/00
Inventor 赵茂程洪冠汪希伟居荣华
Owner NANJING FORESTRY UNIV
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