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Blank hub drilling center accurate positioning method based on machine vision

A technology of machine vision and precise positioning, which is applied in the directions of instrumentation, image data processing, calculation, etc., and can solve problems such as the difficulty of accurate positioning of the hub drilling center and the difficulty of visual image segmentation

Active Publication Date: 2016-10-12
NINGBO INST OF TECH ZHEJIANG UNIV ZHEJIANG
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AI Technical Summary

Problems solved by technology

In the automatic production process of the wheel hub, due to the closeness of the background color of the conveying roller to the color of the wheel hub, and the interference of external ambient light, it is difficult to segment the visual image, and it is difficult to accurately locate the center of the hub drilling hole, which needs to be improved urgently

Method used

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  • Blank hub drilling center accurate positioning method based on machine vision
  • Blank hub drilling center accurate positioning method based on machine vision
  • Blank hub drilling center accurate positioning method based on machine vision

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Embodiment Construction

[0040] Below in conjunction with embodiment the present invention is described in further detail.

[0041] This preferred embodiment is a machine vision-based precise positioning method for the center of a blank wheel hub, including the following steps:

[0042] 1) The visual image is obtained through the improved superpixel segmentation to obtain the hub segmentation image, and the matrix process is as follows:

[0043] 11) Uniformly initialize K initial cluster centers C on the visual image k (k=1,2,...K) on grid nodes whose interval is S; where, N is the total number of image pixels.

[0044] 12) Select the pixel point with the smallest gradient value in the 5×5 neighborhood of the cluster center as the new cluster center According to the normalized distance measure in the cluster centers Allocate pixels, form and cluster centers The corresponding clustered image block G j , and assign all pixels to the cluster center label with the closest normalized distance; am...

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Abstract

The invention discloses a blank hub drilling center accurate positioning method based on machine vision. The advantage of the method is characterized by, through superpixel segmentation technology, carrying out clustering segmentation on visual images; calculating gradient energy of each cluster superpixel for the segmented images to enable significance of hub edge to be enhanced greatly and allow a hub image to be segmented out accurately; then, according to the segmented hub image, obtaining an initial circle center and radius, and with the initial circle center being as a reference circle center, carrying out scanning to obtain edge scanning data; removing noise interference points of the obtained scanning data; and carrying out least square circle fitting to realize accurate positioning required by blank hub drilling positioning.

Description

technical field [0001] The invention relates to the technical field of vehicle hub recognition, in particular to a machine vision-based precise positioning method for a blank hub drilling center. Background technique [0002] Wheel hub, also known as rim, is one of the important parts of motor vehicles such as automobiles and motorcycles. In the automatic production process of the wheel hub, due to the closeness of the background color of the conveying roller to the color of the wheel hub, and the interference of external ambient light, it is difficult to segment the visual image, and it is difficult to accurately locate the center of the hub drilling hole, which needs to be improved urgently. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a machine vision-based precise positioning method for the center of the blank wheel hub drilling, through superpixel segmentation and energy change, obtain the segmented image...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/60
CPCG06T2207/20192
Inventor 崔家林胡超
Owner NINGBO INST OF TECH ZHEJIANG UNIV ZHEJIANG
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