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Lighting Deviation Correction for Integrating-Sphere Multispectral Imaging Systems

College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
College of Computer Science, Zhejiang University, Hangzhou 310027, China
College of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong 999077, China
Author to whom correspondence should be addressed.
Sensors 2019, 19(16), 3501;
Received: 20 May 2019 / Revised: 30 July 2019 / Accepted: 8 August 2019 / Published: 10 August 2019
(This article belongs to the Section Physical Sensors)
PDF [1168 KB, uploaded 19 August 2019]


In an integrating sphere multispectral imaging system, measurement inconsistency can arise when acquiring the spectral reflectances of samples. This is because the lighting condition can be changed by the measured samples, due to the multiple light reflections inside the integrating sphere. Besides, owing to non-uniform light transmission of the lens and narrow-band filters, the measured reflectance is spatially dependent. To deal with these problems, we propose a correction method that consists of two stages. The first stage employs a white board to correct non-uniformity and a small white patch to correct lighting deviation, both under the assumption of ideal Lambertian reflection. The second stage uses a polynomial regression model to further remove the lighting inconsistency when measuring non-Lambertian samples. The method is evaluated on image data acquired in a real multispectral imaging system. Experimental results illustrate that our method eliminates the measurement inconsistency considerably. This consequently improves the spectral and colorimetric accuracy in color measurement, which is crucial to practical applications. View Full-Text
Keywords: multispectral imaging; integrating sphere; lighting deviation; spectral reflectance multispectral imaging; integrating sphere; lighting deviation; spectral reflectance

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Zou, Z.; Shen, H.-L.; Li, S.; Zhu, Y.; Xin, J.H. Lighting Deviation Correction for Integrating-Sphere Multispectral Imaging Systems. Sensors 2019, 19, 3501.

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