Gun Bore Flaw Image Matching Based on Improved SIFT Descriptor
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.
Metrology Flaw image matching Gun bore Feature descriptor
Luan ZENG Wei XIONG You ZHAI
Academy of Equipment, Beijing 101416 China
国际会议
2012第八届精密工程测量和仪器仪表国际研讨会(ISPEMI2012)
成都
英文
1-9
2012-08-08（万方平台首次上网日期，不代表论文的发表时间）