Application of Image Mosaic Method in the Detection of Grinding Wheel Topography

Shen Gui Huang; Nian Duan; Xiu Yu Chen; Xi Peng Xu

doi:10.4028/www.scientific.net/AMR.500.302

Paper Titles

The Development of an Ultrasonic Head for CMP Pad Conditioning
p.275

Study on Grinding Technology of Granite Thin Slab
p.281

Grinding Force of Ultrasonic Vibration Assisted Grinding Combined with EDM
p.287

Research on the Distribution of Grains in the Grinding Process
p.295

Application of Image Mosaic Method in the Detection of Grinding Wheel Topography
p.302

Investigation on Surface Grinding of Ti-6Al-4V Using Minimum Quantity Lubrication
p.308

Grinding Surface Creation Simulation Using Finite Element Method and Molecular Dynamics
p.314

Investigation of Material Removal Rate in Mill-Grinding SiC Particle Reinforced Aluminum Matrix Composites
p.320

Position Error Sensitivity Analysis for Polishing Robot
p.326

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 500Application of Image Mosaic Method in the...

Application of Image Mosaic Method in the Detection of Grinding Wheel Topography

Abstract:

The topography of a grinding wheel can be obtained quickly and exactly through applying the computer vision method to detect the wheel topography. However, the application of computer vision in detecting wheel topography is restricted due to the contradiction between vision field and resolution while using traditional computer vision detecting method. In the present paper, the 3D topography of a diamond grinding wheel was reconstructed by combining image mosaic technique, corner detection algorithm, image matching algorithm and image fusion algorithm. The image mosaic technique was found to be effective in solving the contradiction between visual field and resolution and rapidly obtain high resolution image of the wheel topography in a wider range of vision field, thereby providing a valuable reference for quantitative evaluation of the performance of grinding wheels.

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Periodical:

Advanced Materials Research (Volume 500)

Pages:

302-307

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.500.302

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Online since:

April 2012

Authors:

Shen Gui Huang, Nian Duan, Xiu Yu Chen, Xi Peng Xu

Keywords:

Feature Points, Fusion, Grinding Wheel Topography, Image Mosaic, Mage Registration

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