基于小波图像金字塔的SSDA快速模板匹配算法  

a Fast Images Matching Algorithm of SSDA Based on Wavelet Pyramid

作　　者：刘国权[1] 李守轩[1] 

机构地区：[1]南昌大学信息工程学院电子系,江西南昌330031

出　　处：《科技广场》2007年第11期134-136,共3页Science Mosaic

摘　　要：图像匹配理论在图像识别和理解中应用广泛。本文介绍了一种基于小波金字塔的SSDA快速模板匹配算法,它对传统SSDA算法进行改进,采用了一种自适应阈值SSDA算法,不断对阈值进行自适应更新来减少运算量。通过大量试验对比验证了此算法的实时性和可靠性。The images matching theory is widely applied in the image recognition and understanding. This paper puts forward a fast image matching algorithm of SSDA base on wavelet pyramid. We improve the tradition SSDA algorithm, and have proposed an adaptive threshold SSDA algorithm. The threshold is updated adaptively and the calculation is reduced. Many comparison experiments have improved the algorithm＇s real-time and reliability.

关 键 词：图像匹配 小波金字塔 SSDA 实时性 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]