Method for automatically identifying wheel hub types based on structural features

Abstract

The invention discloses a method for automatically identifying wheel hub types based on structural features. The method comprises the following steps: (1) for a wheel hub in an unknown type, learning to obtain all feature parameters of the wheel hub, storing the feature parameters into a database, collecting a wheel hub visible light image through segmentation, extracting the structural feature parameters of the wheel hub in the type, achieving automatic identification of wheel hubs in different types through the parameters, (2) comparing parameters of an identified object with parameters, stored in the database, of the wheel hub types within an error allowable range when the object is identified, and obtaining a wheel hub type of the identified object when all the feature parameters are consistent, wherein inconformity of a certain parameter shows that the wheel hub can not be identified, and the type of the wheel hub does not exist in the database. According to the method, most stable features of the wheel hub are used as the identification parameters, various misjudgments in workblank wheel hub identification can be effectively avoided, and the automation degree of wheel hub production is improved.

Description

technical field [0001] The invention relates to image segmentation, feature extraction and pattern recognition technologies belonging to the field of machine vision, in particular to a method for automatic recognition of wheel hub types based on structural features. Background technique [0002] Machine vision obtains external images through optical imaging and sensor technology, analyzes and processes image information, and replaces human eyes and brains with machines to describe and recognize objects in the objective world. Machine vision technology is a highly comprehensive high-tech, involving image processing, pattern recognition, artificial intelligence, automatic control and other fields. It has the characteristics of fast speed, strong stability, and multiple functions. It is widely used in modern industrial automation in production. [0003] Wheel hub, also called rim, is an important driving and force-bearing part of motor vehicles such as automobiles and trains. ...

AI Technical Summary

Problems solved by technology

In the past, this problem has been solved manually by writing the model on the wheel hub with a pen, and then on the automatic production line, the staff will select the corresponding processing route according to the written model. This is inefficient and expensive, and it is far from meeting the needs of modern production.

The application publication date is November 28, 2007, and the invention patent with the publication number CN 101079107 "Automatic Identification Method of Wheel Hub Model" discloses a technical scheme for wheel hub model identification for automatic detection of non-destructive testing equipment, and only describes the wheel hub identification. The general idea does not involve specific identification steps and methods. The same industry has also conducted research on the automatic identification of wheel hub models, and proposed a system for wheel hub identification. The image processing algorithm and recognition results used for identification are given, and the wheel hub is not considered. In the production process on the actual assembly line, the identification parameters used are unstable, and the identification method used has a large amount of calculation, complex operation, poor robustness, and does not have real-time and versatility.

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