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Image matching method based on edge direction and gradient characteristics

A gradient feature and edge direction technology, applied in the field of image processing, can solve the problems of blurred images, not fast enough, and low accuracy, so as to reduce the influence of interference factors, improve the matching efficiency and accuracy, and reduce the matching time.

Active Publication Date: 2019-09-03
SIASUN CO LTD
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Problems solved by technology

Relation-based matching algorithms are mainly used in image processing in the field of artificial intelligence, and the progress of this matching algorithm is slow
[0004] In industrial environment image matching, the image to be tested is easily affected by changes in light intensity, and blurred images may also appear due to environmental problems. At the same time, the self-occlusion and mutual occlusion of the image to be tested, image noise, and image position changes (translation and rotation) etc., resulting in low accuracy of image matching results, low correct rate, insufficient speed, and poor stability

Method used

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  • Image matching method based on edge direction and gradient characteristics

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Embodiment Construction

[0070] In order to make the purpose, technical solutions and advantages of the embodiments of this application clearer and clearer, the following will clearly illustrate the spirit of the content disclosed in this application with the accompanying drawings and detailed descriptions. When the technology taught in the content of this application can be changed and modified, it does not depart from the spirit and scope of the content of this application.

[0071] The illustrative embodiments of the application and the description thereof are used to explain the application, but not as a limitation to the application. In addition, elements / components with the same or similar reference numerals used in the drawings and embodiments are used to represent the same or similar parts.

[0072] Regarding the "first", "second", etc. used herein, they do not specifically refer to order or sequence, nor are they used to limit the application. They are only used to distinguish elements or operatio...

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Abstract

The invention provides an edge direction and gradient feature-based image matching method, which comprises the following steps of: training an offline template image, specifically, determining high and low threshold parameters, and denoising the template image; determining the number of layers of the template image pyramid and the rotation angle step length of each layer; expanding the template image and carrying out image pyramid change; expanding each layer of image in the template image pyramid; performing 0-angle feature extraction on the extended image; rotating characteristics of each layer of image in the pyramid; utilizing the trained off-line template image to match the on-line to-be-tested image, specifically, performing image expansion on the to-be-tested image; performing imagepyramid change on the expanded to-be-tested image; performing coarse matching on the image at the highest layer in the pyramid; performing fine matching on the to-be-detected image after coarse matching; and sorting and screening the target points of the to-be-tested image to obtain coordinates, angles and matching scores of the to-be-matched targets in the to-be-tested image. According to the invention, image matching can be carried out rapidly and accurately.

Description

Technical field [0001] This application belongs to the field of image processing technology, and specifically relates to an image matching method based on edge direction and gradient features. Background technique [0002] Image matching refers to the process of finding the same or similar image area as the template image in the image to be tested based on the color, texture, shape, or their combined characteristics contained in the template image. Image matching technology is widely used in target product positioning and surface defect detection in the field of industrial automation, image structure information fusion in the medical field, multi-electromagnetic band image information fusion in the field of remote sensing images, and character recognition and motion in the field of machine vision Tracking etc. [0003] According to the basic principles of image matching, image matching algorithms are mainly divided into the following three categories: gray-level matching algorithm...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/40
CPCG06V10/30G06F18/22G06F18/214
Inventor 杨跞朱小生李兵张根雷李法设
Owner SIASUN CO LTD
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