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Image Matching Method Based on Edge Direction and Gradient Feature

A gradient feature and edge direction technology, applied in the field of image processing, can solve the problems of low accuracy of image matching results, slow progress of matching algorithms, and insufficient speed, so as to reduce the amount of calculation, improve accuracy and stability, and upgrade users. The effect of experience

Active Publication Date: 2021-09-03
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 Feature
  • Image Matching Method Based on Edge Direction and Gradient Feature
  • Image Matching Method Based on Edge Direction and Gradient Feature

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Embodiment Construction

[0070] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly illustrate the spirit of the content disclosed in the application with the accompanying drawings and detailed descriptions. After any person skilled in the art understands the embodiments of the content of the application , when it can be changed and modified by the technology taught in the content of the application, it does not depart from the spirit and scope of the content of the application.

[0071] The exemplary embodiments and descriptions of the present application are used to explain the present application, but not to limit the present application. In addition, elements / members with the same or similar numbers used in the drawings and embodiments are used to represent the same or similar parts.

[0072] The terms "first", "second", ... etc. used herein do not specifically refer to a sequence or order, nor are they...

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Abstract

The present application provides an image matching method based on edge direction and gradient features, which includes: training the offline template image, specifically: determining the high and low threshold parameters, denoising the template image; determining the number of template image pyramid layers and each layer Rotate the angle step; expand the template image and change the image pyramid; expand the image of each layer in the template image pyramid; extract the 0-angle feature from the expanded image; rotate the features of each layer image in the pyramid; use the trained offline template image to online The image to be tested is matched, specifically: image expansion is performed on the image to be tested; image pyramid changes are performed on the expanded image to be tested; rough matching is performed on the topmost image in the pyramid; fine matching is performed on the image to be tested after rough matching; The target points of the image to be tested are sorted and screened to obtain the coordinates, angles and matching scores of the target to be matched in the image to be tested. The application can perform image matching quickly and accurately.

Description

technical field [0001] The present application belongs to the technical field of image processing, and in particular 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 region as the template image in the image to be tested according to the color, texture, shape or their combination features 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: grayscale-bas...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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