中国光学Issue(5)：775-784,10.DOI:10.3788/CO.20150805.0775
基于快速轮廓转动力矩特征的激光主动成像目标识别
Target Recognition in laser active imaging based on fast contour torque features
摘要
Abstract
Due to the characteristic of images in laser active imaging, a novel target recognition method based on fast contour torque features( FCTF) is proposed.The concept of torque is introduced into target recogni-tion.The proposed fast contour torque features contain abundant information such as the size, position, shape regularly of the contours and darkness of the target, which are as well invariant to rotation and scaling.Mean-while the fast calculation method greatly improves the computational efficiency.Firstly feature regions are de-tected using Maximally Stable Extremal Regions( MSER) algorithm, and transformed into circular areas.Then local invariant features of the feature regions are extracted by fast contour torque feature descriptor.At last the features are input into the trained Suppor Vector Machine( SVM) classifier for identification.The experimental results indicate that compared with the existing laser active imaging recognition algorithms, the proposed meth-od acquires higher recognition rate in rotation and affine transformation, and the average computing time of sin-gle frame is 9.68 ms, which meet the real-time requirement in laser active imaging.关键词
激光主动成像/目标识别/最大稳定极值区域/快速轮廓转动力矩特征/支持向量机Key words
laser active imaging/target recognition/MaximallyStable Extremal Regions(MSER)/fast contour torque features/Suppor VectorMachine(SVM)分类
信息技术与安全科学引用本文复制引用
王灿进,孙涛,李正炜..基于快速轮廓转动力矩特征的激光主动成像目标识别[J].中国光学,2015,(5):775-784,10.基金项目
吉林省科技发展计划资助项目（No．20126015）；长春市科技发展计划资助项目 （）
