Jun 8, 2023 · This work presents a real-time fabric flaw inspection method by using grouped sparse dictionary. Firstly, the overcomplete sparse dictionary is learned from ...

Finally, the grouped dictionary is used to represent image and identify flaw regions as they cannot be represented well, leading to large reconstruction error.

Finally, the grouped dictionary is used to represent image and identify flaw regions as they cannot be represented well, leading to large reconstruction error.

Jun 8, 2023 · To alleviate the time-consuming problem of sparse coding in detecting phase, this work presents a real-time fabric flaw inspection method by ...

Real-time textile fabric flaw inspection system using grouped sparse dictionary ; Journal: Journal of Real-Time Image Processing, 2023, № 4 ; Publisher: Springer ...

Fabric surface flaw inspection is essential for textile quality control, and it is demanding to replace human inspectors with the automatic machine ...

This work proposed a novel dictionary grouping strategy to speed up the sparse coding process in detection stage while guaranteeing the detection accuracy.

A universal and adaptive defect detection algorithm based on dictionary learning for detecting various defects of different fabric texture that has good ...

Real-time textile fabric flaw inspection system using grouped sparse dictionary ... textile fabric defect and shade variation detection system using image ...

Jan 1, 2016 · In this paper, we propose a hardware accelerated algorithm based on a small-scale over-completed dictionary (SSOCD) via sparse coding (SC) ...