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Feature point extraction method and device, computer equipment and storage medium

A feature point extraction and feature point technology, which is applied in the field of image matching, can solve the problems of poor image feature point extraction efficiency, etc., and achieve the effect of improving algorithm efficiency, moderate number, and improving real-time performance

Pending Publication Date: 2022-05-10
中航航空电子有限公司
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a feature point extraction method, which aims to solve the problem of poor extraction efficiency of image feature points

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  • Feature point extraction method and device, computer equipment and storage medium
  • Feature point extraction method and device, computer equipment and storage medium
  • Feature point extraction method and device, computer equipment and storage medium

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0024] It can be understood that the terms "first", "second" and the like used in the present application may be used to describe various elements herein, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish one element from another element. For example, a first xx script could be termed a second xx script, and, similarly, a second xx script could be termed a first xx script, without departing from the scope of the present application.

[0025] figure 1 An application environment diagram of a feature point extraction method provid...

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Abstract

The invention is suitable for the technical field of image matching, and provides a feature point extraction method, which comprises the following steps: acquiring a first image; dividing the first image into a plurality of sub-block images, and selecting a plurality of sub-block images according to the complexity of the sub-block images; the image complexity is used for measuring image color, shape and texture content richness; and determining an image threshold, and extracting feature points from the plurality of sub-block images by using an SURF feature point extraction method according to the image threshold. According to the method, the first image is divided into the plurality of sub-block images, the sub-block image with the highest image texture richness is selected, the feature points of the sub-block images with the high image texture richness are extracted, and the real-time performance of the algorithm is greatly improved on the premise that the robustness of the algorithm is not reduced. In addition, a self-adaptive image threshold is set, the number of extracted feature points is moderate, the algorithm effect is ensured, and the algorithm efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of image matching, and in particular relates to a feature point extraction method, device, computer equipment and storage medium. Background technique [0002] SURF (Speeded Up Robust Features) is a robust image recognition and description algorithm. SURF uses the determinant value of the Hessian matrix for feature point detection and uses the integral image for accelerated calculation, which is often used in computer vision recognition. [0003] The feature points reflect the richness of the details of the objects in the image. If the details of objects in a certain area of ​​the image are richer, there will be more feature points. If the details of objects in a certain area are less detailed, there will be fewer feature points. The traditional SURF algorithm does not consider the influence of the high-frequency information and low-frequency information of the image on the feature point extraction, nor doe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/46G06V10/44
Inventor 范大勇张挺
Owner 中航航空电子有限公司