针对复染情况的出现, 采用多通道窄带滤光片与彩色图像传感器相结合的方式, 设计了一种多光谱成像方法.使用多通道窄带滤光片对光源进行分光, 采用多元线性回归方法建立多光谱剥离模型, 并对彩色图像传感器输出的多个单色光混叠响应进行剥离, 通过FPGA实现多光谱图像的实时剥离运算和输出.实验结果表明：多通道窄带滤光片的半高宽为12 nm/15 nm/20 nm, 其透射光是三个不同波段的窄带单色光; 在检验水平为0.01情况下的模型具有较高的准确性; 具有相同光谱特征的物质在同一波段的灰度图像上特征一致, 同一物质在不同波段上的灰度图像特性差异较大.

With the emergence of counter-stains, a multi-spectral imaging method based on the multi-channel narrow-band filter and color image sensor was proposed in this paper. Firstly, a multi-channel narrow-band filter was used to separate the light source. Then, the multi-spectral stripping model was established by using the multiple linear regression method to separate the monochromatic light aliasing response from the color image sensor. The multi-spectral image is real-time delaminated and output by FPGA(Field Programmable Gate Array). The experimental results show that, the Full Width at Half Maximum(FWHM) of the multi-channel narrow-band filter is 12 nm/15 nm/20 nm, and the transmission light is really a narrow-band monochromatic light in three different wavelengths; the model has high accuracy when the test level is 0.01; the substance with the same spectral characteristics has a consistent feature on the same band grayscale image and the same substance has an obvious different feature on different bands grayscale image.