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Noise robust wheel hub edge detection algorithm based on Canny operator

An edge detection algorithm, hub technology, applied in the field of image processing

Inactive Publication Date: 2018-09-28
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is: aiming at the deficiency of the above-mentioned Canny operator in edge detection, a kind of edge detection method based on the improvement of Canny operator to accurately extract the contour of the noise-containing image is proposed

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  • Noise robust wheel hub edge detection algorithm based on Canny operator
  • Noise robust wheel hub edge detection algorithm based on Canny operator
  • Noise robust wheel hub edge detection algorithm based on Canny operator

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Embodiment Construction

[0046] The technical solution of the present invention is described in further detail below in conjunction with the examples. This embodiment is implemented under the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to Examples described below.

[0047] This embodiment is to extract the edge of the image of the automobile wheel hub captured on a certain automobile wheel hub production line. The extraction process is as follows: figure 2 As shown, it specifically includes the following steps:

[0048] 1) Use a video camera to take pictures of the automobile hub map f(x, y) at the hub production line site, such as image 3 As shown, Gaussian smoothing filter is performed on it to construct a two-dimensional Gaussian function G(x, y), and use it to perform convolution operation on the original image f(x, y) to obtain a s...

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Abstract

The present invention discloses a noise robust wheel hub edge detection algorithm based on a Canny operator. The method comprises the following steps: 1) photographing a front view of an automobile wheel hub on the wheel hub production line by using a camera, and performing Gaussian smoothing filtering; 2) calculating the gradient amplitude of the smoothed image to obtain a gradient amplitude image; 3) repeating the operations in steps 1) and 2) on the gradient amplitude image to obtain a double line edge contour of the gradient amplitude; 4) performing multiple differential operations to refine the wheel hub edge image; and 5) performing enhancement processing on the wheel hub edge image. According to the algorithm disclosed by the present invention, image distortion is reduced, false edges are avoided, and the precision and accuracy of the machine vision-based industrial robot wheel hub deburring system are improved.

Description

technical field [0001] The invention relates to an edge extraction algorithm, in particular to a noise robust hub edge detection algorithm based on a Canny operator, and belongs to the technical field of image processing. Background technique [0002] Burrs are an inevitable phenomenon in metal processing. In the automobile wheel hub industry, the quality of the product will be affected due to the burr phenomenon in the processing process of the wheel hub, which restricts the development of the automobile wheel hub enterprises. In recent years, the mainstream method of deburring automobile wheels is to use industrial robots to teach and program, let them drive workpieces or tools, and move along a fixed trajectory, so as to achieve grinding on the edge of the robot. This method is suitable for a wheel hub with a fixed model, style and size, but when a variety of car wheels of different styles and models appear on an assembly line, it is necessary to re-teach and program the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T5/00G06T5/10
CPCG06T5/10G06T7/13G06T2207/10004G06T2207/30252G06T5/70
Inventor 童水光黄元媛童哲铭从飞云唐宁余跃
Owner ZHEJIANG UNIV
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