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Analysis of camera's images influenced by light variation

Kuo‐Yang Tu, Chien‐Hua Chen

Year
2007
Citations
2

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

Computer visionArtificial intelligenceRobotComputer scienceVariation (astronomy)Color spaceSegmentationImage segmentationImage (mathematics)Physics

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