Algorithms Based on Maximization of the Mutual Information for Measuring Parameters of Canvas Texture from Images
- 21 February 2021
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- An improved gray line profile method to inspect the warp-weft density of fabricsThe Journal of the Textile Institute, 2019
- Formation and Analysis of Electrospun Nonwoven Mats from Bicomponent PVA/Aqueous Propolis Nano-MicrofibresFibres & Textiles in Eastern Europe, 2015
- Automatic Thread-Level Canvas Analysis: A machine-learning approach to analyzing the canvas of paintingsIEEE Signal Processing Magazine, 2015
- Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigationIEEE Signal Processing Magazine, 2015
- A thread counting algorithm for art forensicsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Algorithms for Old Master painting canvas thread counting from x-raysPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Survey over image thresholding techniques and quantitative performance evaluationJournal of Electronic Imaging, 2004
- Maximum Segmented Image Information ThresholdingGraphical Models and Image Processing, 1998
- A Threshold Selection Method from Gray-Level HistogramsIEEE Transactions on Systems, Man, and Cybernetics, 1979