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Image sharp degree distribution-based characteristic point matching method

A feature point matching and feature point technology, applied in the field of image processing, can solve the problems of low feature point matching accuracy, time-consuming, low matching rate, etc.

Active Publication Date: 2014-04-02
SHANGHAI LINGZHI TECH CO LTD
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Problems solved by technology

[0009] The purpose of the present invention is to provide a feature point matching method based on image sharpness distribution, to solve the phenomenon that the matching rate is not high in the existing feature point matching method, the calculation needs to consume a lot of time, and the method does not have universal applicability, thereby The problem of low accuracy and low matching efficiency of feature point matching

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  • Image sharp degree distribution-based characteristic point matching method

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Embodiment Construction

[0045] The feature point matching method based on the image sharpness distribution proposed by the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

[0046] Please refer to Figure 1 ~ Figure 4 , which is a schematic diagram related to the present invention. Such as figure 1 Shown, be that the feature point matching method based on image sharpness distribution of the present invention comprises steps:

[0047] Step S1, take two images of the same rigid body or the same approximate rigid body from different angles, and input them into the computer; wherein, the rigid body ...

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Abstract

The invention provides an image sharp degree distribution-based characteristic point matching method. According to the method, an edge detection operator is used for calculating sharp degrees of characteristic points of two images to define a characteristic point description method, and all the characteristic points are matched mainly by calculating normalization related coefficients of the characteristic points in the two images to sequentially perform preliminary matching on the characteristic points, delete false characteristic point matching and calculate a perspective projection matrix of the images, so that the matching accuracy and efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a feature point matching method based on image sharpness distribution. Background technique [0002] Feature point matching in the field of image processing and computer vision has a broad application background, such as image registration, object recognition, target tracking and detection, etc. The currently generated feature point matching methods are as follows: [0003] The feature point matching method based on the Harris detection feature point is inspired by the autocorrelation function in signal processing, and the autocorrelation matrix associated with the autocorrelation function is given, and the feature point matching is performed according to the autocorrelation matrix. The Harris algorithm is very stable and can correctly match most of the feature points, but there are still a small number of wrong matching point pairs. [0004] The feature point matching...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 赵玥苏剑波
Owner SHANGHAI LINGZHI TECH CO LTD
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