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Adaptive Fractional Differentiation Harris Corner Detection Algorithm for Vision Measurement of Surface Roughness
Joint Authors
Source
Advances in Mathematical Physics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-17
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The Harris algorithm via fractional order derivative (the adaptive fractional differentiation Harris corner detection algorithm), which adaptively adjusts the fractal dimension parameter, has been investigated for an analysis of image processing relevant to surface roughness by vision measurements.
The comparative experiments indicate that the algorithm allows the edge information in the high frequency areas to be enhanced, thus overcoming shortcomings.
The algorithm permits real-time measurements of surface roughness to be performed with high precision, superior to the conventional Harris algorithm.
American Psychological Association (APA)
Tang, Rui-Yin& Zeng, Zhou-Mo. 2014. Adaptive Fractional Differentiation Harris Corner Detection Algorithm for Vision Measurement of Surface Roughness. Advances in Mathematical Physics،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-476136
Modern Language Association (MLA)
Tang, Rui-Yin& Zeng, Zhou-Mo. Adaptive Fractional Differentiation Harris Corner Detection Algorithm for Vision Measurement of Surface Roughness. Advances in Mathematical Physics No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-476136
American Medical Association (AMA)
Tang, Rui-Yin& Zeng, Zhou-Mo. Adaptive Fractional Differentiation Harris Corner Detection Algorithm for Vision Measurement of Surface Roughness. Advances in Mathematical Physics. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-476136
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476136