Gear defect detection method and system based on computer vision

A computer vision and defect detection technology, applied in the field of image processing, can solve problems such as low efficiency and precision, achieve high precision, improve production efficiency and production automation, and achieve the effect of great theoretical and practical value
CN102914545AActive Publication Date: 2013-02-06WEIFANG UNIVERSITY
4 Cites 37 Cited by

Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
WEIFANG UNIVERSITY
Publication Date
2013-02-06

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to the technical field of image processing and provides a gear defect detection method and system based on computer vision. The method comprises the following steps of: acquiring a source image of a detected gear acquired by an image acquisition card through a peripheral component interconnect (PCI) slot; performing preprocessing operation comprising grey level transformation, filtering and noise reduction and threshold segmentation on the source image of the detected gear, and obtaining gear parameters of the detected gear; and performing morphological parameter analysis on the gear parameters of the detected gear, and acquiring an analysis result of the teeth where the defects possibly exist. The gear defect detection method is high in measurement speed and high in precision, the functional requirements of the conventional gear parameter measurement are met, the production efficiency and production automation degree can be greatly improved in the large-scale industrial production process, the measurement precision requirement in the actual production can be met, the measurement time is only several seconds, the requirement on the measurement speed in industrial measurement can be met, and the method has high theoretical and practical values.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the technical field of image processing, and in particular relates to a computer vision-based gear defect detection method and system. Background technique

[0002] As a typical power transmission device, gears have played a very important role in the course of industrial development, and their quality directly affects the performance of mechanical products. Therefore, in the process of gear manufacturing, product quality must be strictly tested and controlled. Due to the geometric characteristics of the gear itself, the measurement process for defects such as tooth collapse, missing teeth, and tooth skew is complicated. Conventional measuring equipment such as three-coordinate measuring machines and gear comprehensive error checkers have complex structures and are expensive. The requirements are also higher. The development of modern manufacturing puts forward higher requirements for the defect detection of gear products. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More