摘要
An effective algorithm for tank objects identification in a complex background that fea-tures the perceptual organization is proposed in this paper.With multi-window architecture,the algorithm consists of two parts:coarse recognition and detailed recognition.Based onprior knowledge,coarse recognition scans the entire image data,then gets the target-kerneland its interesting window to direct detailed processing.Moreover,the detailed recognitionexecutes a depth-first search which retrieves locally around the target-kernel in the windowaccording to the rule of similarity measure.Experimental results show that the algorithm canidentify tank objects in a complicated scene effectively.
An effective algorithm for tank objects identification in a complex background that fea- tures the perceptual organization is proposed in this paper.With multi-window architecture, the algorithm consists of two parts:coarse recognition and detailed recognition.Based on prior knowledge,coarse recognition scans the entire image data,then gets the target-kernel and its interesting window to direct detailed processing.Moreover,the detailed recognition executes a depth-first search which retrieves locally around the target-kernel in the window according to the rule of similarity measure.Experimental results show that the algorithm can identify tank objects in a complicated scene effectively.
基金
Supported by National Defense Science and Technology Foundation of China.
