Gun bore flaw image matching based on improved SIFT descriptor

Luan Zeng; Wei Xiong; You Zhai

doi:10.1117/12.2014430

31 January 2013 Gun bore flaw image matching based on improved SIFT descriptor

Luan Zeng, Wei Xiong, You Zhai

Proceedings Volume 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation; 875912 (2013) https://doi.org/10.1117/12.2014430
Event: International Symposium on Precision Engineering Measurement and Instrumentation 2012, 2012, Chengdu, China

Abstract

In order to increase the operation speed and matching ability of SIFT algorithm, the SIFT descriptor and matching strategy are improved. First, a method of constructing feature descriptor based on sector area is proposed. By computing the gradients histogram of location bins which are parted into 6 sector areas, a descriptor with 48 dimensions is constituted. It can reduce the dimension of feature vector and decrease the complexity of structuring descriptor. Second, it introduce a strategy that partitions the circular region into 6 identical sector areas starting from the dominate orientation. Consequently, the computational complexity is reduced due to cancellation of rotation operation for the area. The experimental results indicate that comparing with the OpenCV SIFT arithmetic, the average matching speed of the new method increase by about 55.86%. The matching veracity can be increased even under some variation of view point, illumination, rotation, scale and out of focus. The new method got satisfied results in gun bore flaw image matching. Keywords: Metrology, Flaw image matching, Gun bore, Feature descriptor

Citation Download Citation

Luan Zeng, Wei Xiong, and You Zhai "Gun bore flaw image matching based on improved SIFT descriptor", Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 875912 (31 January 2013); https://doi.org/10.1117/12.2014430

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