Study on classification method of fiat springs based on machine vision
In order to realize the automatic classification of flat springs a new classification method based on machine vision is proposed.And the distribution vectors of black pixel is extracted as the feature parameter vector.Then,the SVMs DDAG method is used to classify the different types of fiat springs,and the test samples of flat spring are classified into different types.The result shows that this classification method is so efficient and accurate that can meet the requirements of the fiat spring automatic classification.
flat spring classificationmachine visionfeature extractionDDAG SVMs
国家科技期刊平台
NSTL
万方数据
维普
