Image filtering using morphological thickness map

Stanislav Brianskiy; Boris Vishnyakov; Vladimir Gorbatsevich; Yury Vizilter

doi:10.1117/12.2525362

21 June 2019 Image filtering using morphological thickness map

Stanislav Brianskiy, Boris Vishnyakov, Vladimir Gorbatsevich, Yury Vizilter

Proceedings Volume 11061, Automated Visual Inspection and Machine Vision III; 110610A (2019) https://doi.org/10.1117/12.2525362
Event: SPIE Optical Metrology, 2019, Munich, Germany

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.

Citation Download Citation

Stanislav Brianskiy, Boris Vishnyakov, Vladimir Gorbatsevich, and Yury Vizilter "Image filtering using morphological thickness map", Proc. SPIE 11061, Automated Visual Inspection and Machine Vision III, 110610A (21 June 2019); https://doi.org/10.1117/12.2525362

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