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Shaft quality detection method based on machine vision

A quality inspection method and machine vision technology, applied in the direction of instruments, image analysis, image enhancement, etc., can solve the problems of unguaranteed detection accuracy and low detection efficiency, and achieve the effect of high efficiency and simple principle

Active Publication Date: 2018-10-26
CHANGSHA HUILIAN INTELLIGENT TECH CO LTD
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  • Abstract
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Problems solved by technology

It can be seen that the detection efficiency will be very low if only the human eye is used for detection, and the detection accuracy cannot be guaranteed.

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  • Shaft quality detection method based on machine vision
  • Shaft quality detection method based on machine vision
  • Shaft quality detection method based on machine vision

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Embodiment Construction

[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0044] Such as figure 1 As shown, the shaft quality detection method based on machine vision of the present invention, the steps are:

[0045] S1: Image preprocessing; including finding the rectangular area of ​​the axial section and performing image enhancement processing;

[0046] S2: Segment the image processed in step S1, that is, divide the axial section image into several small areas, calculate the mean value of the gray value for each small block in each area, and analyze the gray value in a single area with a histogram Changes in the mean value;

[0047] S3: Classify and judge according to the histogram obtained in step S2, so as to judge the quality problem of the shaft.

[0048] Due to the complex and discontinuous edge detection results, the traditional method of using hough transform to detect edges leads to low accura...

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Abstract

The invention discloses a shaft quality detection method based on machine vision. The haft quality detection method comprises the steps that S1: image preprocessing, including searching of a shaft section rectangular area and image enhancement processing, is performed; S2: an image through processing of the step S1 is segmented, i.e. a shaft section image is segmented into multiple small areas, the average gray value of each small piece in each area is obtained, and the change situation of the average gray value in the single area is analyzed by a histogram; and step S3: classification judgment is performed on the histogram obtained according to the step S2 so that the quality problem of a shaft is judged. The shaft quality detection method based on machine vision has advantages being simple in principle, high in efficiency and high in detection accuracy.

Description

technical field [0001] The invention mainly relates to the field of product quality detection, in particular to a machine vision quality detection method suitable for shafts. Background technique [0002] At present, the quality inspection of the "shaft" mainly relies on the method of human eye observation, and the method of human eye inspection has the disadvantages of low efficiency, high false detection rate, no unified quality inspection evaluation standard, and high labor costs; among them, only Selection based on human experience often leads to a high rate of false detection, and the quality of the product cannot be guaranteed, which directly affects sales in the market. [0003] The main materials of the motor shaft are carbon steel, stainless steel, copper, aluminum and so on. Take the micro motor shaft (also known as precision shaft) as an example, its diameter is relatively small, and the processing precision is high. For example, the problems of the shaft includ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/13
CPCG06T7/0004G06T2207/30164G06T2207/30168
Inventor 李迅
Owner CHANGSHA HUILIAN INTELLIGENT TECH CO LTD