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Fast positioning method for components based on edge extraction and Fourier transform

A technology of Fourier transform and edge extraction, applied in the field of visual inspection, can solve the problems of low positioning accuracy, high time-consuming, complex calculation, etc., and achieve the effect of high precision, real-time performance and strong anti-noise ability

Inactive Publication Date: 2018-03-02
XIAMEN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the shortcomings of the traditional matching algorithm in the visual inspection of the above-mentioned part positioning, the operation is complex, time-consuming and the positioning accuracy is not high, the purpose of the present invention is to provide a fast part positioning method based on edge extraction and Fourier transform

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  • Fast positioning method for components based on edge extraction and Fourier transform
  • Fast positioning method for components based on edge extraction and Fourier transform
  • Fast positioning method for components based on edge extraction and Fourier transform

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Embodiment Construction

[0028] To further illustrate the various embodiments, the present invention is provided with accompanying drawings. These drawings are a part of the disclosure of the present invention, which are mainly used to illustrate the embodiments, and can be combined with related descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, those skilled in the art should understand other possible implementations and advantages of the present invention. Components in the figures are not drawn to scale, and similar component symbols are generally used to denote similar components.

[0029] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments. The present invention provides a fast positioning method for part templates in part visual inspection, which is a fast positioning method for parts based on edge extraction and Fourier transform. For the realization flow ...

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Abstract

The invention relates to a fast positioning method for components based on edge extraction and Fourier transform, which comprises the steps of performing edge extraction by applying a Sobel operator,reducing the calculation amount of image processing, acquiring a cross-power spectrum of a component full image and a template image by adopting Fourier transform, building template windows accordingto the size of a component in the template image, solving maximum values of the template windows, acquiring coordinates of numerous maximum value points, removing coordinate positions of a large number of small maximum value points by adopting a parameter method, detecting whether the rest of the maximum value points are true maximum value points or not along the X-axis and Y-axis directions by applying a reticle method, and deleting false maximum value points, so that the finally acquired maximum value points are accurate positions of the components. Positioning for multiple targets can be performed according to the method, the positioning accuracy reaches up to the pixel level, and the anti-noise ability is high. The fast positioning method has the characteristics of accuracy, rapidity and robustness, and meets the requirements of high accuracy and timeliness in visual detection and positioning for the components.

Description

technical field [0001] The invention belongs to the field of visual inspection, and in particular relates to a method for quickly locating parts based on edge extraction and Fourier transform. Background technique [0002] In the visual detection and matching of part images, accurate and fast positioning is one of the key technologies for production and detection. The traditional visual matching methods of part images include grayscale matching and feature matching. The method based on gray-level correlation is a kind of gray-scale information of a window as a reference measure, typically including mean absolute difference, normalized cross-correlation and sequential similarity. The method based on gray level correlation is widely used in image matching, and has the characteristics of insensitivity to rotation, noise, etc., and accurate positioning. However, the disadvantage of this method is that it takes a lot of time, and the positioning accuracy is not high for matching...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/70G06F17/15
Inventor 陈玉明曾志强田翠华陈丹波
Owner XIAMEN UNIV OF TECH