Title :
Analysis of camera´s images influenced by light variation
Author :
Tu, Kuo-Yang ; Chen, Chien-Hua
Author_Institution :
Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung
Abstract :
Cameras are excellent sensors for robots in unstructured environment such as human living space. However, a camera being extreme sensitive to light illumination variation restricts robots in human life. In this paper, color image of a camera influenced by light variation is studied for practical applications used as robot sensors in future. Firstly, the influence of camera´s image data due to varying light illumination is analyzed to build a database consisted of the sets of threshold values. In the analysis, the change rules of the YUV components due to varying illumination is induced for color segmentation of robots against unstable lighting.
Keywords :
image colour analysis; image segmentation; image sensors; lighting; robot vision; camera; color image; color segmentation; light illumination variation; robot sensors; Cameras; Color; Humans; Image analysis; Image databases; Image sensors; Lighting; Orbital robotics; Robot sensing systems; Robot vision systems; Cameras; Light Illumination; Robot Sensors;
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
DOI :
10.1109/SICE.2007.4421332
