Title :
A Research Based on Fisheye Lens of a Drilling Wall Imaging System
Author :
Di, Xu ; Zhang, Yang ; Yang, Jin-Hua ; Liu, Dan ; Li, Li
Author_Institution :
Sch. of Optoelectron. Eng., Changchun Univ. of Sci. & Technol., Changchun, China
Abstract :
This paper use the unique imaging features of fisheye lens that leaflet picture contains a large amount of image information. In the research, we correct the image from the fisheye lens, then we finished the image registration and image the function of the system was realized and each module ran successfully. We use the c + + programming language to code the system, with the help of OpenCV function library, at last, the whole image of the borehole wall would appear in the screen.
Keywords :
C++ language; computer vision; drilling (geotechnical); image registration; photographic lenses; production engineering computing; OpenCV function library; borehole wall; c++ programming language; computer vision; drilling wall imaging system; fisheye lens; image correction; image registration; leaflet picture; Computer science; Computer vision; Educational institutions; Imaging; Lenses; Production; Streaming media; computer vision; fisheye lens; inner wall image system;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.467
