摘要
针对双目立体视觉图对区域匹配应用中存在的问题,提出一种三阶段的匹配预处理方法.该方法将小波阈值去噪算法和直方图均衡化技术相结合,有效地去除了图像随机噪声和高斯噪声,实现了立体图对间亮度差异的平衡,并经过拉普拉斯锐化处理提高了图像对的对比度.实验结果表明,三阶段匹配预处理算法可有效提高立体图对间的匹配准确率.
To solve the problem existing in the application of binocular stereo vision image-pair,a three-stages matching preprocessing method was proposed.This method combines the wavelet de-nosing algorithm and histogram equalization method effectively.The random noise and Gauss noise of image are filtered and luminance difference between stereo image-pairs is balanced at the same time.Finally the contrast of image-pairs was improved by Laplace sharpen processing.The effectiveness of three-stages matching preprocessing algorithm was proved by experiment.The application of the algorithm could improve the matching accuracy of stereo image-pairs effectively.
出处
《吉林大学学报(理学版)》
CAS
CSCD
北大核心
2012年第1期95-100,共6页
Journal of Jilin University:Science Edition
基金
国家高技术研究发展计划863项目基金(批准号:2007AA041501)
国家重大科技专项基金(批准号:2009ZX04004-062)
哈尔滨工业大学科研创新基金(批准号:HIT.NSRIF.2009023)
关键词
双目立体视觉
小波阈值去噪
直方图均衡化
拉普拉斯算子
binocular stereo vision
wavelet threshold de-noising
histogram equalization
Laplace operator