Unmanned aerial vehicle aerial image accurate matching method based on island edge characteristics

An edge feature and precise matching technology, which is applied in image analysis, image data processing, instruments, etc., can solve problems such as large matching point selection errors, dislocation of island edge graphics, and imperfect correction of matching points, etc. The effect of edge detail

Inactive Publication Date: 2013-04-03
青岛经纬蓝图信息技术有限公司 +1
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AI Technical Summary

Problems solved by technology

The filtering characteristics of conventional edge extraction operators cannot meet the requirements, which often results in unclear edge extraction of islands and large errors in matc

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  • Unmanned aerial vehicle aerial image accurate matching method based on island edge characteristics
  • Unmanned aerial vehicle aerial image accurate matching method based on island edge characteristics
  • Unmanned aerial vehicle aerial image accurate matching method based on island edge characteristics

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Embodiment Construction

[0027] The present invention is mainly aimed at stitching aerial images of the edge of the UAV island, including the following implementation steps:

[0028] (1) Use the weighted median filter and anisotropic Gaussian filter to filter out the impulse noise and Gaussian noise in the aerial image of the island, and extract the edge of the island;

[0029] (2) Based on the method of "adaptive straight line fitting of fixed points with chord distance" to detect the corner points of the edge of the island;

[0030] (3) Use the MLESAC algorithm to screen the matching point pairs;

[0031] (4) Substitute the matching points into the affine transformation model to solve the parameters;

[0032] (5) Establish a matching correction function with the help of the relaxation iteration method to accurately match the image.

[0033] 1. Island edge extraction, the specific steps are as follows:

[0034] (a) Determining the weight of weighted median filter and the scale of anisotropic Gauss...

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Abstract

The invention provides an unmanned aerial vehicle aerial image accurate matching method based on island edge characteristics and relates to the field of computer graphics. The unmanned aerial vehicle aerial image accurate matching method solves the problem of dislocation easily occurring during splicing of unmanned aerial vehicle aerial images for island edges. Anisotropic Gaussian filters and weighted median filters in weight dynamic allocation are adopted to filter noises in island aerial images, a chordal distance fixed point self-adaption linear fitting method is utilized to detect edge angular points, a maximum likelihood estimation sample consensus (MLESAC) algorithm is utilized to screen matching points, the screened matching points are substituted into an affine transformation model to solve parameters, and matched modified functions are utilized to perform accurate registration on the images. According to the unmanned aerial vehicle aerial image accurate matching method, island edge details are effective reserved, the extracted island edges are clear, and the edge angular points can be extracted rapidly. A screening and correction process of the angular points is designed, the island images are matched accurately, and the matching effect is good.

Description

technical field [0001] The invention relates to the field of computer graphics, in particular to the extraction of image edge features, the recognition of image edge corner points and the precise registration between images. Background technique [0002] The edge is the dividing line of different regions, and it is a collection of pixels with the most significant local intensity changes in the image. As an essential link in feature extraction, edge detection is a basic problem in the field of image processing and computer vision. Image edge detection can not only greatly reduce the data volume of image processing but also preserve the important structural information of the image. Edge detection can be roughly divided into two types: search-based edge detection and zero-crossing-based edge detection. Edge detection based on search is mainly realized by solving the extremum in the first derivative of the image, and usually locates the boundary in the direction of the larges...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 于方杰马纯永田丰林韩勇陈戈王政范龙庆
Owner 青岛经纬蓝图信息技术有限公司
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