Share Email Print
cover

Proceedings Paper • new

Image filtering using morphological thickness map
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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
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)
Vladimir Gorbatsevich, 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)

© SPIE. Terms of Use
Back to Top