The Hong Kong Research Institute of Textiles and Apparel Limited

Quan-geng Ge

John Haozhong Xin

Hui-liang Shen

The present invention provides a multispectral color imaging device, an automatic calibration method based on a reference reflective surface, and a method for eliminating background signals. A multispectral color imaging device including a light house module comprising a light source and a light intensity collection device surrounding the light source; an integrating sphere module including an integrating sphere, a light inlet on one side of the integrating sphere, a light outlet on the top of the integrating sphere, a sample holder gateway on the other side of the integrating sphere and a sample holder having access to the interior of the integrating sphere; and a filter wheel module including a camera, a filter wheel below the camera, and a lens below the filter wheel. The device and calibration methods of the present invention together improve the accuracy and stability of the measurement.

Multispectral color imaging device based on integrating sphere lighting and calibration methods thereof

The present disclosure provides a method and a computer-readable storage medium for color quality assessment of a batch-sample image based on multispectral imaging. The method comprises: selecting an operation area on a reference image and locating a corresponding operation area on a batch-sample image, wherein the reference image is used for color comparison with the batch-sample image to determine whether the batch-sample image satisfies a pass requirement; generating and comparing the color-information items obtained from the reference image and from the batch-sample image respectively and determine whether the batch-sample image satisfies the pass requirement based on one or more thresholds. This method can be applied to automatically and precisely assess the quality of mixed-color fabrics in textile industry, which is more objective, reliable, and cost-effective, as compared to conventional methods for color quality assessment.

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Hangzhou, China

Quan-geng Ge