Application of gradient-based edge detection on defined surface feature boundary
In surface topography, the detection of edges or surface feature boundary should be made prior to the characterization process to ensure precise measurement of the surface feature. However, problem arises when the existing edge detection from the image processing area is being directly adopted on th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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International Association for Educators and Researchers (IAER)
2021
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| Series: | Annals of Emerging Technologies in Computing
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |
| Summary: | In surface topography, the detection of edges or surface feature boundary should be made prior to the characterization process to ensure precise measurement of the surface feature. However, problem arises when the existing edge detection from the image processing area is being directly adopted on the surface without firstly defining the exact location of edges. Thus, an approach has been carried out with the aim of developing the definition of edges to identify its exact location. The process of developing the definition of edges is conducted based on theoretical understanding and demonstration on the simulated surface topography data with the help of MATLAB software. Gradient-based edge detection operators are applied to see their performance on the defined surface feature boundary. Overall findings of this study showed that there are slight discrepancies of the edge position signified by the gradient-based operators to manually-defined edges. Despite of such outcome, it is then recommended to use either the Sobel operator or the Prewitt operator as a tool to signify the edge before proceeding with characterization process in future study due to their stability and clarity in producing the surface gradient function. © 2021 by the author(s). |
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| ISBN: | 25160281 (ISSN) |
| DOI: | 10.33166/AETiC.2021.05.016 |