Machine vision-based workpiece hole quantity detection method

A technology of machine vision and detection methods, applied in instruments, image data processing, computing, etc., can solve problems such as difficulty in ensuring detection speed, consumption of human resources, and difficulty in obtaining guarantees. The effect of production efficiency

Pending Publication Date: 2018-08-10
TONGJI UNIV
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AI Technical Summary

Problems solved by technology

[0005] (1) Judging by the naked eye whether the number of holes meets the requirements may cause omission or misreading. Therefore, it is necessary to select another person to make a second judgment on the judged workpiece, which is time-consuming and laborious, and the quality is difficult to guarantee;
[0006] (2) The mutual cooperation between the workpiece and the matching template is realized manually, which consumes human resources and is difficult to guarantee the detection speed

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  • Machine vision-based workpiece hole quantity detection method
  • Machine vision-based workpiece hole quantity detection method
  • Machine vision-based workpiece hole quantity detection method

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Embodiment Construction

[0044] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0045] This embodiment proposes a method for detecting the number of holes in workpieces based on machine vision, which is used to detect whether the number of holes in produced workpieces meets the specified requirements. The method includes:

[0046] 1) Establish the grayscale image template of the number of holes made in the workpiece, including:

[0047] 11) Establish a matching template of the workpiece, and collect images of the matching template;

[0048] 12) converting the collected matching template into a grayscale image to obtain a grayscale matching template;

[0049] 13...

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Abstract

The invention relates to a machine vision-based workpiece hole quantity detection method, which is used for detecting whether a produced workpiece hole quantity meets a defined requirement or not. Themethod comprises the steps of establishing a hole quantity grayscale image template of a workpiece; collecting a to-be-detected workpiece image, and performing initialization processing on the collected to-be-detected workpiece image; and performing binary image morphology operation on the hole quantity grayscale image template and the processed to-be-detected workpiece image, and according to anoperation result, judging whether the workpiece hole quantity meets the defined requirement or not. Compared with the prior art, the method has the advantages of automatic detection, convenient implementation, high detection efficiency and the like.

Description

technical field [0001] The invention relates to the field of workpiece detection, in particular to a method for detecting the number of holes made in a workpiece based on machine vision. Background technique [0002] The workpiece, as the cornerstone of the manufacturing industry, runs through various fields such as aviation, automobiles, and shipbuilding. The quality inspection method after processing has become one of the important symbols to measure the level of a country's manufacturing industry. Only more accurate and efficient workpiece inspection method, in order to produce better quality workpieces. [0003] In the process of workpiece quality inspection, it is an important part of workpiece quality inspection to detect whether the number of holes in the workpiece meets the requirements. Most of the existing detection methods for the number of holes in the workpiece are to make a matching template that matches the shape of the workpiece, and then combine the workpie...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/001G06T2207/30164G06T2207/30242
Inventor 郝泳涛李庚森毛孝鑫谢圆万思哲李洲楠苏峰
Owner TONGJI UNIV
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