Jian Zhang
ABSTRACT
Detection of minimal repeated pattern (MRP) is an indispensable ingredient of the color dividing and plate-making system in the IoT-based printing fabric industry. We present a minimal repeated pattern detection problem and then design an effective and efficient neighbor similarity point location (NSPL) method for automatic detection of PRP. We theoretically reveal the effective working mechanism of NSPL and provide a specific implementation by transforming it into a sub-pattern retrieval problem. Evaluation on the printing fabric image set and the experimental results demonstrate that the NSPL is very suitable for the detection of the minimal repeated pattern of printed images and achieves greater performance than the manual and other existing automatic detection methods in detection accuracy, efficiency, and robustness.
- Chung-Feng Jeffrey Kuo, Cheng-Lin Lee, and Chung-Yang Shih. Image database of printed fabric with repeating dot patterns part (i)--image archiving. Textile Research Journal, 87(17):2089--2105, 2017.Google Scholar
Cross Ref
- Jianqiang Shen, Xuan Zou, Fang Xu, and Zhicong Xian. Intelligent recognition of fabric weave patterns using texture orientation features. In International Conference on Information Computing and Applications, pages 8--15, 2010.Google ScholarCross Ref
- Errol J Wood. Applying fourier and associated transforms to pattern characterization in textiles. Textile Research Journal, 60(4):212--220, 1990.Google ScholarCross Ref
- 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. Google ScholarDigital Library
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