Target Recognition of Infrared Bridge Image Based on Morphological Operator

A novel infrared bridge target recognition, based on morphological operator, was presented in this paper. Firstly, some operations including contrast stretching transformation, Otsu operator, morphological operators were employed to process the original image. secondly, the bridge-knowledge was defined, and which was applied to find a possible bridge. Finally, some bridge target images were used to make simulation experiment, which results show that the novel algorithm has better performance of accuracy and reliability, which has lower error and higher computational efficiency. Thus it can be used to real-time application