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A rapid parallel refinement method for automobile dial plate pointers

A pointer and fast technology, which is applied in the layout of instruments, vehicle components, image data processing, etc., can solve the problem that local pixel redundancy cannot be removed, and achieve the effect of solving local pixel redundancy, improving accuracy, and simple processing

Active Publication Date: 2019-06-28
CHINA JILIANG UNIV
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  • Claims
  • Application Information

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Problems solved by technology

This method effectively solves the problem that the local pixel redundancy cannot be removed in the ZS fast parallel algorithm, and the thinning line has bifurcations, and the calculation speed is fast, which improves the accuracy of the subsequent calculation of the slope of the line to a certain extent.

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  • A rapid parallel refinement method for automobile dial plate pointers
  • A rapid parallel refinement method for automobile dial plate pointers
  • A rapid parallel refinement method for automobile dial plate pointers

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Embodiment Construction

[0032] Claim 1 of the present invention will be further described below in conjunction with the accompanying drawings.

[0033] Such as figure 1 Shown, the step of the inventive method is:

[0034] Step 1: Read the initial image of the car dashboard

[0035] Get the original detection image of the car dial I 0 ,Such as figure 2 shown;

[0036] Step 2: Obtain the red single-channel image in the initial image of the car dashboard, and perform binarization and contour detection preprocessing to extract the pointer connected domain image separately, and use the ZS fast parallel algorithm for the pointer connected domain image to obtain the initialization pointer refinement image

[0037] Raw detection image of car dial I 0 Perform single-channel processing to extract red single-channel image IR roi , for the image IR roi Using the OTSU method to perform binary segmentation processing to obtain a binary image BI roi ,Such as image 3 shown; for the obtained image BI roi...

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Abstract

The invention discloses a rapid parallel refinement method for an automobile dial pointer. Specific implementation content is shown in the specification. Firstly, carrying out red single-channel extraction on an initial image of an automobile instrument panel; realizing binaryzation and contour detection pretreatment, extracting an image only containing a pointer connected domain; obtaining an initial refined image by adopting a ZS fast parallel refinement algorithm; carrying out line-by-line and column-by-column search; finding out a first refinement starting point, adjacent pixel points aresearched through the sequence of oblique lines and then cross; the method comprises the steps of obtaining a seed sequence, defining direction serial numbers in eight neighborhoods of a refinement starting point, respectively comparing direction relations between a current pixel point and surrounding pixel points and between the current pixel point and a starting search pixel point according to different direction conditions, pressing the pixel points meeting the conditions into the seed sequence to serve as a new refinement starting point, and finally finishing refinement after seed traversal. According to the method, the problems of local pixel redundancy and refining bifurcation of the refined image are effectively solved, the algorithm has innovativeness and good robustness, and meanwhile the method is simple, practical and high in precision.

Description

technical field [0001] The invention relates to the technical field of machine vision measurement, and relates to a fast parallel refinement method for automobile dial pointers. Background technique [0002] In the automobile production industry, the production of automobile dials is a particularly critical link. When the product is inspected at the factory, the correctness of the pointer indication reading is one of the important indicators to determine whether the dial is qualified. It is a visual detection method. First, the pointer image is thinned through the extracted pointer image, and then the thinned image is fitted with a straight line, and the actual speed value is finally converted according to the slope of the straight line. Common pointer image refinement methods: [0003] (1) The pointer image is thinned by Hough transform, but the threshold parameter of the accumulation plane needs to be manually set in Hough transform, so self-adaptation cannot be realized,...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/181B60K35/00B60K37/02
Inventor 刘磊陈爱军齐淑雯彭伟康赵彦龙
Owner CHINA JILIANG UNIV