Scene Matching & Image Mosaic Based on PCNN
Liyun Yang · Jisuanji fangzhen · 2009
In practice,the real-time images always have the characteristics subjected to noise interference,or having rotation related to the base map and the proportion changes.Therefore,the matching algorithms must have a certain fault-tolerant and anti-interference capability.This paper introduces the concept of pulse coupled neural network(PCNN)into the scene matching,and suggests a new method which implements matching by using PCNN for getting the vision entropy sequence.This method provides good rotation invariance as well as good robustness to the noise and the scale change.Based on the PCNN template matching,this paper shows a solution for good image mosaic which is accurate and easy to implement the hardware.The validity of the method is verified by simulation experiment.