A UV ink curing degree detection method and system based on texture analysis

Abstract

The application belongs to the technical field of image processing, and particularly relates to a UV ink curing degree detection method and system based on texture analysis, which comprises the following steps: collecting an original gray-scale image of a UV ink surface, constructing a local illumination saturation index positioning mirror reflection dominant area, and combining a texture optical masking coefficient to obtain an adaptive texture recovery gain; performing weighted processing on the gray-scale value and high-frequency component of the original gray-scale image by using the local illumination saturation index and the adaptive texture recovery gain respectively, extracting macroscopic statistics and microscopic structure features of a reconstructed image to construct a multi-dimensional texture feature vector; inputting the multi-dimensional texture feature vector into a support vector machine classifier to obtain a curing state, and generating a control signal according to the curing state. The application improves the extraction effect of weak texture features under strong light interference, and provides technical support for closed-loop control of the curing process.

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