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Image initial registration and neural network training method, device and equipment

A neural network and initial registration technology, applied in the network field, can solve the problems of low registration efficiency, long calculation time, and low registration result accuracy, and achieve the effect of improving registration efficiency and reducing time complexity.

Pending Publication Date: 2021-06-01
HANGZHOU SANTAN MEDICAL TECH
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Problems solved by technology

[0004] However, the method of directly registering different types of images in the related art is very easy to cause wrong registration when the initial pose of the image is quite different from the target pose, resulting in low accuracy of the registration result; in addition , the registration process based on the global optimization search algorithm, such as ant colony algorithm, simulated annealing algorithm, etc., due to the long calculation time in the iterative process, the registration efficiency is low

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  • Image initial registration and neural network training method, device and equipment
  • Image initial registration and neural network training method, device and equipment
  • Image initial registration and neural network training method, device and equipment

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[0067]The exemplary embodiment will be described in detail herein, and examples thereof are shown in the drawings. The following description is related to the drawings, unless otherwise indicated, the same numbers in the drawings represent the same or similar elements. The embodiments described in the exemplary embodiments are not meant to all embodiments consistent with the present application. In contrast, examples of apparatus and methods consistent with some aspects of the present application are intended in detailed in the appended claims.

[0068]The terms used in this application are only for the purpose of describing particular embodiments, not to limit the invention. "One", "one", "one", "one", "" "," and "" "as used in the present application and the appended claims are also intended to include many forms unless otherwise clearly indicated. It should also be understood that the terms "and / or" as used herein refer to any or from any or more of the associated listing items.

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Abstract

The invention provides an image initial registration and neural network training method, device and equipment. The method comprises the following steps: determining contour information of a pattern formed by a radiation object in a two-dimensional image; inputting the contour information into a neural network; and performing feature extraction on the input contour information through a neural network, and determining initial registration information of the two-dimensional image and the three-dimensional image according to the extracted features. Through the technical scheme of the invention, the initial registration precision and robustness between the two-dimensional image and the three-dimensional image can be improved.

Description

Technical field[0001]The present application relates to the field of network technology, and more particularly to an image initial registration and a training method, apparatus, and equipment of neural network.Background technique[0002]With the rapid development of image imaging technology, various imaging equipment have emerged, while the introduction of new imaging equipment and the continued improvement of the imaging equipment makes imaging imaging technology in more and more industries.[0003]Based on different types of imaging equipment, the image obtained by different types of image devices has different characteristics and application value. Therefore, how to integrate various image devices, achieving the comprehensive utilization between different types of images has unprecedented research significance, where is how to fuse the image based on different imaging devices in the same scene or similar scene is different. The key process of comprehensive utilization value between ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33
CPCG06T7/33G06T2207/20081G06T2207/20084
Inventor 何滨李海丰陈汉清范龙飞童睿
Owner HANGZHOU SANTAN MEDICAL TECH