首页|Research from University of Zagreb Faculty of Textile Technology Reveals New Fin dings on Machine Learning (Advanced Image Analysis and Machine Learning Models f or Accurate Cover Factor and Porosity Prediction in Knitted Fabrics: Tailored .. .)
Research from University of Zagreb Faculty of Textile Technology Reveals New Fin dings on Machine Learning (Advanced Image Analysis and Machine Learning Models f or Accurate Cover Factor and Porosity Prediction in Knitted Fabrics: Tailored .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting from Zagreb, Croatia, by NewsRx journali sts, research stated, “This paper presents a study focused on developing robust algorithms for cover factor and porosity calculation through digital image analy sis.” Funders for this research include Croatian Science Foundation; University of Zag reb. The news journalists obtained a quote from the research from University of Zagre b Faculty of Textile Technology: “Computational models based on machine learning for efficient cover factor prediction based on fabric parameters have also been developed. Five algorithms were devised and implemented in MATLAB: the single t hreshold algorithm (ST); multiple linear threshold algorithms, ML-1 and ML-2; an d algorithms with multiple thresholds obtained by the Otzu method, MT-1 and MT-2 . These algorithms were applied to knitted fabrics used for football, swimming, and leisure. Algorithms ML-1 and MT-1, employing multiple thresholds, outperform ed the single threshold algorithm. The ML-1 variant yielded the highest average porosity value at 95.24%, indicating the importance of adaptable th resholding in image analysis. Comparative analysis revealed that algorithm varia nts ML-2 and MT-2 obtain lower cover factors compared to ML-1 and MT-1 but can d etect potential void areas in fabrics with higher reliability.”
University of Zagreb Faculty of Textile TechnologyZagrebCroatiaEuropeAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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