摘要
针对岩心图像尺寸大,特征信息不明显的特点,充分利用混沌遗传算法的随机性大大减少了传统搜索算法消耗的大量运算时间。利用小波多分辨率分析的方法在小波变换子图像上进行粗匹配,再在原始图像上精匹配,浓缩了岩心图象的特征信息在保证匹配准确度的同时提升了运算速度。将混沌遗传算法与小波变换多分辨率分析相结合,将其应用于大幅岩心图像的配准。实验表明,该方法能够快速而有效地进行图像配准,兼顾了匹配效果和匹配速度。
To solve the problem in image matching resulting from core image＇s large scale and unconspicuous characteristic information, the chaos genetic algorithm to shorten the time consumed in traditional search algorithm is used in the paper. Use multi-resolution analysis to do rough-match on wavelet transformed sub-images, then do fine-match on original images, the method condenses characteristic information of core iamge, results in improved accuracy and swifter speed, the method combine chaos genetic algorithm with wavelet multi-resolution analysis is applied, apply it to large sacle image＇s matching. The experiment shows that method performs is effective and fast in image matching, and it meets the needs of matching effect and speed.
出处
《四川理工学院学报（自然科学版）》
CAS
2010年第6期704-706,711,共4页
Journal of Sichuan University of Science & Engineering(Natural Science Edition)
基金
中央高校基本科研项目(2009SCU11009)
关键词
岩心图像
图像配准
混沌遗传算法
小波变换
多分辨率分析
core image
image matching
chaos genetic algorithm
wavelet transform
multi-resolution analysis
