Application of improved ORB image matching combined with optimal stitching in digital media video image stitching
Video surveillance equipment greatly enriches the types and quantities of image data in the digital information age,considering the limitations of device perspectives on displaying real scene information and the low quality issues exhibited by tradition-al video stitching techniques.The research proposes to start with video image matching and fusion,and improve the matching algo-rithm and seed region growth algorithm by introducing hybrid particle swarm optimization algorithm,vector similarity criterion,Pois-son equation,and other aspects to ensure the stitching level.The experimental results indicate that the optimization matching algo-rithm exhibits a correct matching rate of over 96％,and the maximum peak signal-to-noise ratio(23.28)and information entropy(7.758)under the optimal stitching line are significantly better than other algorithms.The image stitching accuracy exceeds 95％,demonstrating good subjective and objective evaluation effects.This method has reference value for the application research of pano-ramic images in large field of view and scale.
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