Multiple Facula Targets Recognition Based on Particular Distribution
An approach of multiple facula targets recognition based on particular distribution is presented. Firstly, a sort of particular distributions is proposed. Secondly, every targets edge and region pixels are searched and recorded after morphology open operation and adaptive thresholding. And then a feature vector is established, in order to segment facula targets from other disturbing regions. Finally, a feature labeling algorithm is proposed to identify each facula target. The approach simplifies the process of matching facula targets observed by two or more cameras in stereo vision measurement by segmenting facula targets and labeling each of them in single image. Experiments on simulated images and real images illustrate validity and robustness of the presented approach.
Ming Gao Zhenzhong Wei Liqun Ma Xiaomei He
Key Laboratory of Precision Opto-mechatronics Technology, Beihang University, Ministry of Education, Beijng Changcheng Institute of Metrology & Measurement of AVICI, Beijing 100095, China
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
753-758
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）