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Texture Stationarity Evaluation with Local Wavelet Spectrum
Michele Conni
Hilda Deborah
  DOI :  10.2352/issn.2694-118X.2020.LIM-20  Published Online :  September 2020
Abstract

In texture analysis, stationarity is a fundamental property. There are various ways to evaluate if a texture image is stationary or not. One of the most recent and effective of these is a standard test based on non-decimated stationary wavelet transform. This method permits to evaluate how stationary is an image depending on the scale considered. We propose to use this feature to characterize an image and we discuss the implication of such approach.

Journal Title : London Imaging Meeting
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
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 DOI 10.2352/issn.2694-118X.2020.LIM-20
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Michele Conni, Hilda Deborah, "Texture Stationarity Evaluation with Local Wavelet Spectrum"  in Proc. IS&T London Imaging Meeting 2020: Future Colour Imaging,  2020,  pp 24 - 27,  https://doi.org/10.2352/issn.2694-118X.2020.LIM-20

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Copyright © Society for Imaging Science and Technology 2020
75011771
London Imaging Meeting
2694-118X
2694-118x
Society for Imaging Science and Technology
10.2352/issn.2694-118X.2020.LIM-20
2694-118X(20200929)2020:1L.24;1-
s8.phd
/ist/lim/2020/00002020/00000001/art00008
Articles
Texture Stationarity Evaluation with Local Wavelet Spectrum
ConniMichele
DeborahHilda
29092020
2020
1
24
27
2020
In texture analysis, stationarity is a fundamental property. There are various ways to evaluate if a texture image is stationary or not. One of the most recent and effective of these is a standard test based on non-decimated stationary wavelet transform. This method permits to evaluate how stationary is an image depending on the scale considered. We propose to use this feature to characterize an image and we discuss the implication of such approach.