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Rapid imaging detection method for gear appearance defect

A technology for image detection and appearance defects, applied in image analysis, image data processing, instruments, etc.

Active Publication Date: 2015-11-18
WEIFANG UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a rapid image detection method for gear appearance defects. This detection method can accurately and efficiently detect gear parts with unqualified appearance, thereby replacing manual inspection, improving the degree of automation, and meeting the needs of large-scale production.

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  • Rapid imaging detection method for gear appearance defect
  • Rapid imaging detection method for gear appearance defect

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Embodiment Construction

[0054] Referring to the accompanying drawings, the invention's rapid image detection method for gear appearance defects includes two stages of detection preprocessing and online detection.

[0055] Referring to the accompanying drawings, the detection preprocessing stage includes three processes of automatic setting of the target area, generation of a rough detection template and generation of a fine detection template. like figure 2 and image 3 As shown, the process of automatically setting the target area specifically includes the following steps:

[0056] Step M1) Take the target gear to obtain the target image;

[0057] Step M2) using an iterative method to analyze the target image histogram to obtain a threshold;

[0058] Step M3) Obtain the binary image of the target image by thresholding segmentation;

[0059] Step M4) Obtain the minimum convex polygon based on the binary image of the target image;

[0060] Step M5) performing curve fitting based on the convex po...

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Abstract

The invention relates to a rapid imaging detection method for gear appearance defects. The rapid imaging detection method comprises two stages including a pre-processing stage and an online detection stage. The pre-processing stage comprises three procedures including automatically setting a target region, generating a coarse detection template and generating a fine detection template. The online detection stage comprises the steps of: J1) acquiring an image; J2) preprocessing and extracting features; J3) carrying out area difference value calculation on the image to be detected and an image of the coarse detection template for coarse detection judgment; J4) registering the image to be detected and an image of the fine detection template so that gear tooth directions of the two images are coincided; J5) and carrying out exclusive-or operation on the image to be detected and the image of the fine detection template to obtain a differential image, and acquiring defect region area in the differential image for fine detection judgment. The rapid imaging detection method for gear appearance defects acquires images by utilizing machine vision, performs coarse and fine judgment by utilizing template matching and image exclusive-or operation, and is high in detection precision and fast in speed.

Description

technical field [0001] The invention relates to the field of gear appearance defect detection, in particular to a rapid image detection method for gear appearance defects. Background technique [0002] For general parts, their appearance defects are mostly detected by direct observation with the naked eye, or with the help of auxiliary tools such as calipers and magnifying glasses. For precision parts such as gears used in mechanical transmission, they are small in size and high in precision, and the human naked eye can only effectively identify defects not smaller than 0.3mm. Therefore, it is difficult to guarantee the detection accuracy and prone to missed inspections. At the same time, due to the influence of personal subjective factors, the consistency of detection cannot be guaranteed. In addition, the data measured manually is inconvenient to be stored in the management software, which does not match the large-scale production mode of the current automated flow operat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/64
CPCG06T7/0004G06V10/75
Inventor 王文成刘云龙吴小进
Owner WEIFANG UNIVERSITY
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