Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.