
Proceedings Paper
Image filtering using morphological thickness mapFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper we propose a new algorithm for image filtering using morphological thickness map. Compared to the other smoothing methods, such as anisotropic diffusion, comparative filters, guided and rolling guidance filters, the benefit of our method is that it natively works with the image structure – thickness map, so it does not depend on the various levels of image noise, lightning conditions and effects. We present the method idea, algorithm itself and various experimental results. The results of the filtering using our algorithm can be widely applied in such image processing tasks as image segmentation, motion analysis, invariant feature transformation, data compression.
Paper Details
Date Published: 21 June 2019
PDF: 9 pages
Proc. SPIE 11061, Automated Visual Inspection and Machine Vision III, 110610A (21 June 2019); doi: 10.1117/12.2525362
Published in SPIE Proceedings Vol. 11061:
Automated Visual Inspection and Machine Vision III
Jürgen Beyerer; Fernando Puente León, Editor(s)
PDF: 9 pages
Proc. SPIE 11061, Automated Visual Inspection and Machine Vision III, 110610A (21 June 2019); doi: 10.1117/12.2525362
Show Author Affiliations
Stanislav Brianskiy, Moscow Aviation Institute (Russian Federation)
State Research Institute of Aviation Systems (Russian Federation)
Boris Vishnyakov, State Research Institute of Aviation Systems (Russian Federation)
State Research Institute of Aviation Systems (Russian Federation)
Boris Vishnyakov, State Research Institute of Aviation Systems (Russian Federation)
Vladimir Gorbatsevich, State Research Institute of Aviation Systems (Russian Federation)
Yury Vizilter, State Research Institute of Aviation Systems (Russian Federation)
Yury Vizilter, State Research Institute of Aviation Systems (Russian Federation)
Published in SPIE Proceedings Vol. 11061:
Automated Visual Inspection and Machine Vision III
Jürgen Beyerer; Fernando Puente León, Editor(s)
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