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 target's 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.