SVM与组合矩在工件识别中的应用研究
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Research on the Application of SVM andCombined Moment in Mechanical Parts Recognition
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    摘要:

    针对工件识别问题,提出了一种应用支持向量机(Support Vector Machine,SVM)与组合矩对工件进行识别的方法;通过对提取图像的Hu不变矩进行处理,形成利用组合矩进行工件识别的新方法;改进后的算法降低了特征维数,缩减了识别时间,提高了识别准确率;结合试验比较了两种方法的分类效果,其中提取Hu不变矩作为特征的识别率为82.3%,而采用组合矩作为特征的识别率高达94.1%,高于Hu不变矩作为特征的识别率.

    Abstract:

    To solve the problem of mechanical parts recognition in the factory, a method of applying Support Vector Machine and combined moment to recognize mechanical parts is proposed. By extracting the Hu invariant moment of the image, combining the first and second moments into φ12, combining the third and fourth moments into φ34, combining the fifth and sixth moments into φ56, and ignoring the seventh momentφ7, the new method is constructed. The improved algorithm reduces feature dimension and recognition time, and at the same time improves recognition accuracy. The experiment comparing classification effect of the two methods shows that the recognition rate of the method extracting Hu invariant moments as features is 82.3%, while the recognition rate based on the combined moment as features is 94.1% which is higher than the former.

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周伟峰, 江娟娟, 林园胜, 许钢. SVM与组合矩在工件识别中的应用研究[J].重庆工商大学学报(自然科学版),2015,32(4):78-84
ZHOU Wei-feng, JIANG Juanjuan, LIN Yuansheng, XU Gang. Research on the Application of SVM andCombined Moment in Mechanical Parts Recognition[J]. Journal of Chongqing Technology and Business University(Natural Science Edition),2015,32(4):78-84

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