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Hardware Trojan horse image registration method based on R-SIFT, storage medium and equipment

A technology of image registration and hardware Trojan horse, which is applied in the field of image recognition to achieve the effect of improving accuracy, stability, representativeness and stability

Pending Publication Date: 2020-12-18
XIDIAN UNIV
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Problems solved by technology

However, in feature extraction, the detection of corner points and edge points, and the processing of noise interference are still a difficult problem to solve

Method used

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  • Hardware Trojan horse image registration method based on R-SIFT, storage medium and equipment
  • Hardware Trojan horse image registration method based on R-SIFT, storage medium and equipment
  • Hardware Trojan horse image registration method based on R-SIFT, storage medium and equipment

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Embodiment Construction

[0053] The invention provides an R-SIFT-based hardware Trojan image registration method, storage medium and equipment. Firstly, different scale spaces are constructed for two images with registration, and then key features are obtained by detecting extreme points in different scale spaces. point, find the direction information of the feature point through the neighborhood relationship of the feature point. At this time, the feature point contains three pieces of information: position, scale, and direction. The feature descriptor of the feature point is formed by the information contained in the feature point, and the feature description vector is obtained through normalization. The matching point pairs are obtained on the two images by matching the description vectors of the feature points. Finally, the redundant points are screened out through the RANSAC algorithm to obtain the final matching result.

[0054] see figure 1 , a kind of R-SIFT-based hardware Trojan image regis...

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Abstract

The invention discloses a hardware Trojan horse image registration method based on RSIFT, a storage medium and equipment, and the method comprises the steps: carrying out the Gaussian filtering and down-sampling of an input image, and constructing a multi-scale space; detecting an extreme point of the image in the constructed multi-scale space; assigning values to the directions of the obtained extreme points to obtain position, scale and direction information of the corresponding points, and generating feature descriptors; preliminarily generating a pre-matching point pair by using the generated feature descriptor and a distance matching method, and representing the pre-matching point pair by using a matching matrix C; and after the pre-matching matrix C is determined, performing correction by using an RANSAC algorithm, removing redundant matching points, and completing image registration. According to the invention, the problem of affine transformation in image registration is effectively solved, interference caused by noise points can be avoided more flexibly, and the stability and accuracy of the image registration method are further improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to an R-SIFT-based hardware Trojan image registration method, storage medium and equipment. Background technique [0002] Image matching is a classic problem in the field of image recognition. In practical applications, image matching is also a very common image processing requirement, such as finding the target position we need in an image with complex content. In the field of image recognition, the general matching method adopts a method based on grayscale matching, using a spatial two-dimensional sliding template for image matching, and judging the similarity of two images by the average absolute difference. This method is simple in thought and has relatively high matching accuracy, but this method has a very large amount of calculation and is extremely sensitive to noise. [0003] In recent years, the image matching method based on feature matching has be...

Claims

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Application Information

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IPC IPC(8): G06T7/33G06T5/50G06T5/00G06K9/46G06K9/62
CPCG06T7/33G06T5/50G06T2207/10024G06T2207/20016G06T2207/20224G06V10/464G06V10/757G06V10/44G06F18/22G06T5/70
Inventor 李玲玲梁普江孙宸马晶晶焦李成刘芳郭晓惠刘旭张梦漩张丹
Owner XIDIAN UNIV
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