Automatic Detection of Minimal Repeated Pattern in Printing Fabric Images
Author:
Affiliation:
1. School of Computer Eng., Huaihai Institute of Technology, Lianyungang, Jiangsu, P.R.China
2. School of Science, Huaihai Institute of Technology, Lianyungang, Jiangsu, P.R.China
Funder
National Nature Science Foundation of Jiangsu Province
National Natural Science Foundation of China
the University Science Research General Project of Jiangsu Province
Lianyungang Haiyan Plan
Lianyungang Science and Technology Projects
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3274783.3275178
Reference4 articles.
1. Image database of printed fabric with repeating dot patterns part (I) – image archiving
2. Intelligent Recognition of Fabric Weave Patterns Using Texture Orientation Features
3. Applying Fourier and Associated Transforms to Pattern Characterization in Textiles
4. Hsin-Chih Lin Ling-Ling Wang and Shi-Nine Yang. Extracting periodicity of a regular texture based on autocorrelation functions. Pattern recognition letters 18(5):433--443 1997. 10.1016/S0167-8655(97)00030-5 Hsin-Chih Lin Ling-Ling Wang and Shi-Nine Yang. Extracting periodicity of a regular texture based on autocorrelation functions. Pattern recognition letters 18(5):433--443 1997. 10.1016/S0167-8655(97)00030-5
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A fully automatic adjacent key-points localization framework for minimal repeated pattern detection in printed fabric images;Knowledge-Based Systems;2024-09
2. Complete, fully-automatic extraction, classification and image registration of repeating printed fabric patterns and their derivatives;Expert Systems with Applications;2023-03
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