In order to better represent infrared target features under different environments, a saliency detection method based on region covariance and global feature is proposed. Firstly, the region covariance features on dif...In order to better represent infrared target features under different environments, a saliency detection method based on region covariance and global feature is proposed. Firstly, the region covariance features on different scale spaces and different image regions are extracted and transformed into sigma features,then combined with central position feature, the local salient map is generated. Next, a global salient map is generated by gray contrast and density estimation. Finally, the saliency detection result of infrared images is obtained by fusing the local and global salient maps. The experimental results show that the salient map of the proposed method has complete target features and obvious edges,and the proposed method is better than the state of art method both qualitatively and quantitatively.展开更多
电磁转矩的准确观测是实现永磁无刷直流电机(brushless DC motor,BLDCM)直接转矩控制(direct torquecontrol,DTC)的关键。另外,有些BLDCM还具有一定的凸极现象,增加了电磁转矩观测的难度。为此,该文针对凸极式BLDCM-DTC驱动提出一种无...电磁转矩的准确观测是实现永磁无刷直流电机(brushless DC motor,BLDCM)直接转矩控制(direct torquecontrol,DTC)的关键。另外,有些BLDCM还具有一定的凸极现象,增加了电磁转矩观测的难度。为此,该文针对凸极式BLDCM-DTC驱动提出一种无位置传感器型电磁转矩观测器。该观测器利用BLDCM定子电流状态方程构建一个转子反电动势自适应的定子电流观测器,利用自适应机制推导出转子反电动势辨识值;根据辨识的转子反电动势,采用锁相环输出平稳的转子位置角观测值;基于该观测角,计算出电磁转矩,实现凸极式BLDCM-DTC系统平稳运行。实验结果表明,所提观测器观测的电磁转矩与实际值非常接近;无位置传感器DTC系统动态响应迅速,稳态运行平稳,最低运行转速可达33 r/min。展开更多
In this paper, a fast and accurate work-piece detection and measurement algorithm is proposed based on top-down feature extraction and bottom-up saliency estimation. Firstly, a top-down feature extraction method based...In this paper, a fast and accurate work-piece detection and measurement algorithm is proposed based on top-down feature extraction and bottom-up saliency estimation. Firstly, a top-down feature extraction method based on the prior knowledge of work- pieces is presented, in which the contour of a work-piece is chosen as the major feature and the corresponding template of the edges is created. Secondly, a bottom-up salient region estimation algorithm is proposed, where the image boundaries are labelled as background queries, and the salient region can be detected by computing contrast against image boundary. Finally, the calibration method for vision system with telecentric lens is discussed, and the dimensions of the work-pieces are measured. In addition, strategies such as image pyramids and a stopping criterion are adopted to speed-up the algorithm. An automatic system embedded with the proposed detection and measurement algorithm combining top-down and bottom-up saliency （DM-TBS） is designed to pick out defective work-pieces without any manual auxiliary. Experiments and results demonstrate the effectiveness of the proposed method.展开更多
基金supported by the National Natural Science Foundation of China(61303192)the China Postdoctoral Science Foundation(2015M5726942016T90979)
文摘In order to better represent infrared target features under different environments, a saliency detection method based on region covariance and global feature is proposed. Firstly, the region covariance features on different scale spaces and different image regions are extracted and transformed into sigma features,then combined with central position feature, the local salient map is generated. Next, a global salient map is generated by gray contrast and density estimation. Finally, the saliency detection result of infrared images is obtained by fusing the local and global salient maps. The experimental results show that the salient map of the proposed method has complete target features and obvious edges,and the proposed method is better than the state of art method both qualitatively and quantitatively.
文摘电磁转矩的准确观测是实现永磁无刷直流电机(brushless DC motor,BLDCM)直接转矩控制(direct torquecontrol,DTC)的关键。另外,有些BLDCM还具有一定的凸极现象,增加了电磁转矩观测的难度。为此,该文针对凸极式BLDCM-DTC驱动提出一种无位置传感器型电磁转矩观测器。该观测器利用BLDCM定子电流状态方程构建一个转子反电动势自适应的定子电流观测器,利用自适应机制推导出转子反电动势辨识值;根据辨识的转子反电动势,采用锁相环输出平稳的转子位置角观测值;基于该观测角,计算出电磁转矩,实现凸极式BLDCM-DTC系统平稳运行。实验结果表明,所提观测器观测的电磁转矩与实际值非常接近;无位置传感器DTC系统动态响应迅速,稳态运行平稳,最低运行转速可达33 r/min。
基金supported by National Natural Science Foundation of China(Nos.61379097,91748131,61771471,U1613213 and 61627808)National Key Research and Development Plan of China(No.2017YFB1300202)Youth Innovation Promotion Association Chinese Academy of Sciences(CAS)(No.2015112)
文摘In this paper, a fast and accurate work-piece detection and measurement algorithm is proposed based on top-down feature extraction and bottom-up saliency estimation. Firstly, a top-down feature extraction method based on the prior knowledge of work- pieces is presented, in which the contour of a work-piece is chosen as the major feature and the corresponding template of the edges is created. Secondly, a bottom-up salient region estimation algorithm is proposed, where the image boundaries are labelled as background queries, and the salient region can be detected by computing contrast against image boundary. Finally, the calibration method for vision system with telecentric lens is discussed, and the dimensions of the work-pieces are measured. In addition, strategies such as image pyramids and a stopping criterion are adopted to speed-up the algorithm. An automatic system embedded with the proposed detection and measurement algorithm combining top-down and bottom-up saliency （DM-TBS） is designed to pick out defective work-pieces without any manual auxiliary. Experiments and results demonstrate the effectiveness of the proposed method.
