An Integrated Statistical Process Monitoring and Fuzzy Transformation Approach to Improve Process Performance via Image Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08059-2.pdf
Reference22 articles.
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3. Liu, Z.; Blasch, E.; John, V.: Statistical comparison of image fusion algorithms: recommendations. Inform. Fusion 36, 251–260 (2017). https://doi.org/10.1016/j.inffus.2016.12.007
4. Arunpandian, S.; Dhenakaran, S.S.: An effective image compression technique based on burrows wheeler transform with set partitioning in hierarchical trees. Concurren. Comput.: Practice and Exp. 34(5), e6705 (2022). https://doi.org/10.1002/cpe.6705
5. Geetha, V.; Anbumani, V.; Parameshwaran, R.; Gomathi, S.: Savitzky Golay and KPCA based optimal discrete wavelet transform architecture for image compression. Microproces. Microsyst. 91, 104511 (2022). https://doi.org/10.1016/j.micpro.2022.104511
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