scholarly journals 3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment

2019 ◽  
Vol 26 (2) ◽  
pp. 169-186 ◽  
Author(s):  
Alassane Seck ◽  
Hannah Dee ◽  
William Smith ◽  
Bernard Tiddeman
Keyword(s):  
High Resolution ◽  
Texture Analysis ◽  
Surface Texture ◽  
Condition Assessment ◽  
Skin Condition ◽  
Facial Skin ◽  
3D Surface ◽  
3D Surface Texture ◽  
Surface Texture Analysis

scholarly journals A method for the taphonomic assessment of bone tools using 3D surface texture analysis of bone microtopography

2020 ◽  
Vol 12 (10) ◽  
Author(s):  
Naomi L. Martisius ◽  
Shannon P. McPherron ◽  
Ellen Schulz-Kornas ◽  
Marie Soressi ◽  
Teresa E. Steele
Keyword(s):  
Texture Analysis ◽  
Surface Texture ◽  
Bone Tools ◽  
3D Surface ◽  
Texture Parameters ◽  
One Step ◽  
Ancient Bone ◽  
Anthropogenic Modifications ◽  
3D Surface Texture ◽  
Surface Texture Analysis

Abstract Increasingly researchers have employed confocal microscopy and 3D surface texture analysis to assess bone surface modifications in an effort to understand ancient behavior. However, quantitative comparisons between the surfaces of purported archaeological bone tools and experimentally manufactured and used bones are complicated by taphonomic processes affecting ancient bone. Nonetheless, it may be reasonable to assume that bones within the same deposits are altered similarly and thus these alterations are quantifiable. Here we show how unworked bones can be used to quantify the taphonomic effect on bone surfaces and how this effect can then be controlled for and incorporated into an analysis for evaluating the modified surfaces of purported bone tools. To assess the baseline taphonomy of Middle Paleolithic archaeological deposits associated with typologically identified bone artifacts, specifically lissoirs, we directly compare the surface textures of ancient and modern unworked ribs. We then compare the ancient unworked ribs and lissoirs to assess their differences and predict the ancient artifacts’ original surface state using a multilevel multivariate Bayesian model. Our findings demonstrate that three of five tested surface texture parameters (Sa, Spc, and IsT) are useful for distinguishing surface type. Our model predictions show that lissoirs tend to be less rough, have more rounded surface peaks, and exhibit more directionally oriented surfaces. These characteristics are likely due to anthropogenic modifications and would have been more pronounced at deposition. Quantifying taphonomic alterations moves us one step closer to accurately assessing how bone artifacts were made and used in the ancient past.

scholarly journals Effects of different irrigation protocols on dentin surfaces as revealed through quantitative 3D surface texture analysis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Shlomo Elbahary ◽  
Sohad Haj-yahya ◽  
Majd Khawalid ◽  
Igor Tsesis ◽  
Eyal Rosen ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Surface Texture ◽  
Structural Changes ◽  
Ethylenediaminetetraacetic Acid ◽  
Negative Control ◽  
Measuring System ◽  
3D Surface ◽  
Inorganic Matter ◽  
3D Surface Texture ◽  
Surface Texture Analysis

AbstractThe combination of ethylenediaminetetraacetic acid (EDTA) and sodium hypochlorite (NaOCl) has been advocated as an effective irrigation methodology to remove organic and inorganic matter in root canal therapy. Yet, it was suggested that both solutions might lead to structural changes of the dentinal wall surface, depending on the order of application which might affect sealer mechanical retention. This study aims to evaluate the effect of different irrigating protocols on dentin surface roughness using quantitative 3D surface texture analysis. Data stems from 150 human root dentin sections, divided into five groups, each prepared according to one of the following protocols: Negative control; 17% EDTA; 17% EDTA followed by 5.25% NaOCl; 5.25% NaOCl; and 5.25% NaOCl followed by 17% EDTA. Each dentin sample was examined for its three-dimensional surface texture using a high-resolution confocal disc-scanning measuring system. EDTA 17% and the combined EDTA 17% with NaOCl 5.25% showed considerably higher roughness properties compared to the control and to NaOCl 5.25% alone. However, the irrigation sequence did not affect the dentin roughness properties. Therefore, mechanical retention is probably not dependent upon the selection of irrigation protocol sequence.

scholarly journals Time wears on: Assessing how bone wears using 3D surface texture analysis

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0206078 ◽  
Author(s):  
Naomi L. Martisius ◽  
Isabelle Sidéra ◽  
Mark N. Grote ◽  
Teresa E. Steele ◽  
Shannon P. McPherron ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Surface Texture ◽  
3D Surface ◽  
3D Surface Texture ◽  
Surface Texture Analysis

Surface texture analysis of a high-resolution DTM: Interpreting an alpine basin

Geomorphology ◽  
2012 ◽  
Vol 161-162 ◽  
pp. 26-39 ◽  
Author(s):  
Sebastiano Trevisani ◽  
Marco Cavalli ◽  
Lorenzo Marchi
Keyword(s):  
High Resolution ◽  
Texture Analysis ◽  
Surface Texture ◽  
Surface Texture Analysis

AN AUTOREGRESSIVE APPROACH TO SURFACE TEXTURE ANALYSIS

1994 ◽  
Vol 08 (04) ◽  
pp. 845-857 ◽  
Author(s):  
DINESH P. MITAL ◽  
GOH WEE LENG
Keyword(s):  
Aspect Ratio ◽  
Random Field ◽  
Texture Analysis ◽  
Surface Texture ◽  
Field Model ◽  
Invariant Property ◽  
Circular Area ◽  
Pixel Image ◽  
Rotational Invariant ◽  
Surface Texture Analysis

The use of autoregressive models in textual analysis holds great potential. Coupling the technique to a circular neighbourhood set imparts a rotational invariant property to it. This was demonstrated by Kashyap and Khotanzad in their model called the Circular Symmetric Autogressive (CSAR) Random Field model. The short-coming in this very ingenious proposal is that it is set in a background of square pixels and the rotational invariant property of the model fails in cases when the aspect ratio of the pixels are not at unity. This paper proposes a major modification to the CSAR to render the model rotational invariant under all configurations of pixel implementation. It is based on the area segments covered by a circle set in a 3×3 neighbourhood. We call it the Circular Area Autoregressive (CAAR) model. The results obtained from the CAAR showed much better consistency over that of the CSAR when a non-square pixel image was used.

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