The extraction of protruding diamond grains feature from the measured data of grinding wheels is the key to assessing their surface texture and predicting their functional performance. The 3D-motif analysis was utilized to identify the significant features. Based on 6-neighbourhood and wolf pruning, the tiny and insignificant motifs were eliminated and the surface of grinding wheel was segmented into large significant motifs. Four surface samples of #600 diamond grinding wheel were measured by using Alicona Infinite Focus Measuring Instrument and analyzed based on 3D-motif method. As the results shown, the 3D-motif analysis provided an effective method to segment the measured surface into significant features. The experiments also indicated that wolf pruning at 5% produced a proper count of the protruding grains extracted from grinding wheel surface.
|Number of pages||7|
|Journal||Measurement: Journal of the International Measurement Confederation|
|Early online date||8 Sep 2015|
|Publication status||Published - Jan 2016|
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- Department of Engineering and Technology - Professor
- School of Computing and Engineering
- Centre for Precision Technologies - Director
- Secure Societies Institute - Associate Member