NDLI: Surface Roughness Vision Measurement in Different Ambient Light Conditions

Content Provider	IEEE Xplore Digital Library
Author	Zhisheng Zhang Zixin Chen Jinfei Shi Fang Jia Min Dai
Copyright Year	2008
Description	Author affiliation: Sch. of Mech. Eng., Southeast Univ., Nanjing (Zhisheng Zhang; Zixin Chen; Jinfei Shi; Fang Jia; Min Dai)
Abstract	Machine vision method was used to measure the surface roughness for different Phi38 mm grinding axes in different ambient light conditions. To analyze the effect of ambient light, a method based on the gray-level co-occurrence matrix was applied at the fist step. Then, a new calculation method was proposed to minimize the effect of ambient light during measurement. At the calibration stage, the intensity of ambient light was put into consideration to indicate the relationship between the surface roughness and the corresponding features of the workpiece image. To measure an unknown workpiece, the corresponding features of ambient light and inspected workpiece would be input to calculate the roughness value. Finally, a case study is provided to demonstrate the measurement procedures and effectiveness of the proposed methodology. The experiments show that the proposed method has better accuracy than the gray-level co-occurrence matrix method when the error between inspecting value and its corresponding real surface roughness is set at 0.05 mum.
Starting Page	1
Ending Page	4
File Size	2340304
Page Count	4
File Format	PDF
ISBN	9781424437795
DOI	10.1109/MMVIP.2008.4749497
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-02
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Intl Journal of Intelligent
Subject Keyword	Mechatronics Surface resistance surface ambient light Surface roughness Rough surfaces Calibration Surface finishing Mechanical engineering measurement machine vision Image analysis Machine vision Mechanical variables measurement
Content Type	Text
Resource Type	Article

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