Automobile wheel hub classification method based on word bag model and support vector machine

Abstract

The invention discloses an automobile wheel hub classification method based on a word bag model and a support vector machine. The automobile wheel hub classification method includes the steps of 1) pretreating a given automobile wheel hub images to make the given automobile wheel hub images become a standard database for training and test; 2) extracting global texture characteristics and global color characteristics of images, 3) extracting partial characteristics of the images employing SIFT descriptors, conducting K-Means clustering for the partial characteristics to form characteristic description based on the word bag model, 4) fusing global and partial characteristics, using an extreme learning machine to learn and obtain an automobile wheel hub classifier; and 5) testing samples to be tested based on the obtained automobile wheel hub classifier to obtain final classification result. Global and partial characteristics are fused, and an extreme learning machine is used to learn an automobile wheel hub classifier. More accurate classification performance can be obtained than a conventional automobile wheel hub classification method based on KNN, SVM and BP. The accuracy in most tests reaches over 99.9%.

Description

technical field [0001] The invention relates to the field of detection and classification of automobile hubs, in particular to the on-line detection and classification of different automobile hubs on a production line by using monocular vision. Background technique [0002] In the automobile industry, people need to classify the detection and classification of automobile wheels, so as to provide decision-making for the next process. At present, these tasks are mainly done manually, which is labor-intensive. There is no way to operate with vision and artificial intelligence. The present invention seeks to address this need. Contents of the invention [0003] The technical problem solved by the present invention is to propose a car wheel detection and classification method based on bag-of-words model and extreme learning machine, and fully utilize global texture features, global color features, global shape features and local features based on bag-of-words model to describ...

AI Technical Summary

Problems solved by technology

At present, these tasks are mainly done manually, which is laborious and laborious.

Does not operate with vision and artificial intelligence methods

Images