光照不均匀颗粒图像的校正方法

在颗粒图像的采集过程中，由于实际环境中成像条件的限制，造成图像的背景光照不均匀，这给后续的粒度分析和计数等操作带来困难。为了解决这一问题，本文在论述常用的各种校正算法特点的基础上，提出了基于同态滤波进行处理的方法。该算法通过对图像的频域空间进行处理，削弱了图像中的低频成分，适当增强了高频分量，降低了背景的光照不均匀对图像分析所造成的影响。实验证明，本文提出的方法简单有效，可以广泛应用到实际机器视觉系统中。

Study on Correction Method for Uneven Illumination Particle Images

In the process of particle image acquisition, because of the limitation of imaging conditions, it is often caused the uneven background, and which will brought difficulties for the following--up operations such as particle analysis and counting, et al. In order to solve the problem, a correction method based on homomorphic filtering is proposed in this paper after discussing the characteristic of various common algorithms. It carried out treatment on image frequency region space, weakened low frequency component and strengthened the high frequency component appropriately, so it can reduce the effects of uneven illumination background to image analysis. The experiment shows that the proposed method is simple and effective, and can be used in many computer vision systems.