Non-uniformity correction for SLM microscopic images

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摘要

The distributions of irradiance on the image plane decrease away from the center of the image even if the scene is a uniform white field. This crucial problem is posed in SLM microscopic images analyses, such as edge detection and stereo matching. This paper analyses the noise sources based on the structure of SLM, establishes an image model and explores the variation of random noise with various magnifications. Then a non-uniformity correction method which combines a fitting calibration algorithm and an extended vector median filter speeded up with a fast algorithm is used to remove noise. The experimental results demonstrate the validity of our theoretical model and the effectiveness of non-uniformity correction method of the SLM micro stereovision system.

论文关键词:Non-uniformity correction,Vector median filter,SLM microscopic image,Image model

论文评审过程:Received 6 September 2005, Revised 6 August 2008, Accepted 11 August 2008, Available online 15 August 2008.

论文官网地址:https://doi.org/10.1016/j.imavis.2008.08.001