人工智能
RGB颜色模型
计算机视觉
激光扫描
混合模型
计算机科学
激光器
颜色模型
分割
HSL和HSV色彩空间
彩色图像
光学
色空间
图像处理
图像(数学)
物理
病毒
病毒学
生物
作者
Pavel Chmelař,Ladislav Beran,Nataliia V. Kudriavtseva
标识
DOI:10.1109/radioelek.2015.7129023
摘要
Lasers are widely used in measurement systems, health care and in electrical engineering in general. One recent area in measurement represents 3D range scanning. The accurate laser line detection is crucial for their precision. In this paper we would like to introduce a new method of the color-based laser line detection by using felicitous Gaussian mixture model (GMM). Detection algorithm process a static image captured by camera. There are several advantages of using this sophisticated model. The color segmentation process is able to deal with saturation, different laser intensity, darker objects and ambient daylight. Various color models it is possible to use in modeling process. For laser color detection we are using two basic color models, RGB and HSV. The paper includes a rigorous comparative evaluation of the two aforementioned color models in a segmentation colored laser line. Results of 3D range scanning are compared and recommendations for using color GMM segmentation are mentioned in last part of this paper.
科研通智能强力驱动
Strongly Powered by AbleSci AI