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Multi-source image registration based on local structure binary pattern

A local structure, binary technology, applied in the field of image processing, can solve problems such as information that cannot reflect the structure

Inactive Publication Date: 2014-12-24
DALIAN NATIONALITIES UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this operator can only represent the texture features of the image, and cannot reflect the structural information.
In this way, for image fields with similar structures but large texture differences, such as multi-source image registration, pedestrian detection, etc., the operator will be helpless

Method used

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  • Multi-source image registration based on local structure binary pattern
  • Multi-source image registration based on local structure binary pattern
  • Multi-source image registration based on local structure binary pattern

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Embodiment Construction

[0016] The present invention will be further described below in conjunction with accompanying drawing:

[0017] The invention includes five steps: detecting and locating feature points, calculating feature point salience and eliminating low saliency feature points, determining main direction, establishing descriptor based on local structure binary operator, and matching feature points.

[0018] Step 1: Detect and locate feature points.

[0019] The DOG operator is used to extract feature points. Gaussian pyramids are established by performing Gaussian blurs of different scales on the input image and continuously downsampling. Next, subtract the adjacent upper and lower layers of images in each group of the Gaussian pyramid to obtain a Gaussian difference pyramid. Then, a comparison is made between two adjacent layers of images in the same group of the differential pyramid, that is, extreme points are searched for as candidate feature points in the 3×3×3 neighborhood. Finall...

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Abstract

The invention discloses multi-source image registration based on a local structure binary pattern and belongs to the technical field of image processing. The multi-source image registration based on the local structure binary pattern includes the following steps that first, feature points are detected and positioned; second, the feature points are filtered out through saliency; third, the main direction is determined; fourth, descriptors are established based on local structure binary pattern operators; fifth, the feather points are matched. Compared with a classic image registration scale invariant feature transform (SIFT) algorithm which is poor in effect on images from different sources, the same threshold is adopted in the matching step, multiple matches can be generated and are all correct, and thus the multi-source image registration has high registration accuracy.

Description

technical field [0001] The invention relates to multi-source image registration based on local structure binary patterns, and belongs to the technical field of image processing. Background technique [0002] Local Binary Pattern (LBP) is an effective descriptor for image local texture features. The operator was first proposed by Ojala in 1996. It has the characteristics of simple thinking, simple calculation, and strong discrimination ability. It is widely used in texture classification, face recognition, image retrieval and other fields. In image registration, this operator shows powerful capabilities as a novel descriptor. But this operator can only represent the texture features of the image, and cannot reflect the structural information. In this way, for image fields with similar structures but large texture differences, such as multi-source image registration, pedestrian detection, etc., the operator will be helpless. Contents of the invention [0003] The present ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 王波
Owner DALIAN NATIONALITIES UNIVERSITY
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