摘要
为提高灰度编码结构光图像的二值化质量,提出一种灰度编码结构光图案二值化阈值的优化方法.针对码间干扰(ISI)和噪声而导致编码图像模糊,就单一空间频率多条纹空间编码的理想平面模型,采用常规采样理论建立其线性通道模型,并转换为二维概率密度函数,从实验数据和数字模型之间的均方差最小出发,选出最优化阈值.该方法通过优化二值化阈值为提高二值化灰度编码图像质量提供了一条有效的途径.
In order to improve binary image of grey encoded structured-light image, an optimize method of threshold becoming grey encoded structured-image into binary grey image. Aimed at image blur conduced by intersymbol interference and noise, the ideal flat model of an ideal surface with multiple stripes at a single spatial frequency is discussed. Its linear channel model is established by conventional sampling theory, and is converted into 2-D PDF. The optimization threshold is chosen in order to minimize the mean square deviation of experimental data and numerical model. The method proposes an effective approach to high quality of binary grey encoded images.
出处
《哈尔滨理工大学学报》
CAS
2005年第2期41-43,共3页
Journal of Harbin University of Science and Technology
关键词
灰度编码
结构光
二值化
阈值
优化
grey encoding
structured-light
binary
threshold
optimization
