摘要
立体匹配是计算机视觉领域研究的重点,大部分立体匹配方法都是将图像当作数字信息进行数学计算,缺少与实际人眼视觉特征的联系。结合人眼的同心圆拮抗式感受野以及符合人眼特性的HSI色彩空间模型对原自适应支持权重(ASW)算法的权重计算进行了改进,并通过左右一致性校验和中值滤波方法进行视差优化。在VS2010平台对几组国际标准图像进行测试,结果表明,相比原始ASW算法,该方法在低纹理区域、深度不连续区域的匹配精度都有所提高,根据测试图像的不同,提高程度在10%至20%不等,总体匹配精度和近年主流局部匹配方法相当。
Stereo matching is the focus of research in the field of computer vision. Most of the stereo matching algorithm take mathematical calculation as digital information, and lack the connection with the actual human visual characteristics. We combine the concentric antagonistic receptive field of the human eye and the HSI colour space model to improve the weight calculation of the original adaptive support weight （ASW）, and optimize the parallax by means of left-right consistency check and median filtering. The test results of several groups of international standard images in VS2010 platform show that, this method has higher matching accuracy than that of the original ASW algorithm in the low texture regions and depth discontinuities area. According to the difference of the test images, the improvement ranges from 10% to 20%, and the overall matching accuracy is similar to that of the mainstream local matching method in recent years.
作者
刘雪松
沈建新
张燕平
Liu Xuesong, Shen Jianxin, Zhang Yanping(College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics Nanjing, Jiangsu 210016, Chin)
出处
《激光与光电子学进展》
CSCD
北大核心
2018年第3期264-270,共7页
Laser & Optoelectronics Progress
基金
江苏省前瞻性联合研究项目(BY2015003-03)
江苏省科技支撑计划项目(SBE2014070704)
关键词
图像处理
立体匹配
自适应支持权重
HSI色彩空间
视觉特性
image propcessing
stereo matching
adaptive support weight
HSI colour space
visual characteristics
