Color characterization model of colored fabric based on Transformer network feature fusion
To address the unique color structure of colored fabric and the limitations of commonly used single color measurement tools,a multi-source heterogeneous data fusion color representation model was established based on Transformer network.Spectral and texture features was extracted from spectrometer data and image data respectively,Transformer network was used to fuse multi-source heterogeneous data features,their complementary characteristics was fully utilized,and the color information of colored fabric was effectively and comprehensively characterized.The results indicate that the color characterization model constructed in this article can effectively characterize the differences in the quality ratio of dyed fibers within a large range of changes and the color changes due to uneven distribution on the surface of dyed fibers.At the same time,under the measurement aperture of 6mm,10mm,and 25mm,the correlation coefficients between the fusion feature difference and the fiber ratio difference are all higher than 85%.Compared with a single spectral feature and a single image feature,the correlation coefficient of this method is improved by more than 10%,which has ideal robustness.
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