An Infrared Image Matching Method Based on Separating Information Entropy
The effective recognition of targets using infrared image matching methods is the main means of achieving precise strikes in modern warfare.In order to achieve high-performance matching of infrared images,the article proposes using image preprocessing to enhance the detail information in the image,achieving image matching through mutual information entropy,designing an algorithm flow from coarse matching to fine matching,and achieving algorithm acceleration;The performance of the image matching algorithm was optimized by separating and processing areas with poor image information.The experimental results show that the real-time performance and accuracy of the algorithm are effectively improved during infrared image matching.
万方数据
维普
