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Illumination compensation for microscope images based on illumination difference estimation
The Visual Computer ( IF 3.0 ) Pub Date : 2021-03-27 , DOI: 10.1007/s00371-021-02104-7
Jun Yu , Jing Zhao , Huili Shao , Yu Lu , Yongjun He , Lejun Zhang

The DNA ploidy analysis which measures the relative content of DNA in cells by image processing has a wide range of applications in cancer diagnosis. However, the measured results of the same cell in different positions are different because of uneven illumination, which may reduce the measurement accuracy and the diagnosis performance. Many methods are proposed to compensate for uneven illumination, but they are generally aimed at image enhancement, segmentation, or recognition and therefore not suitable for cell measurement. To solve this problem, a compensation method without using white-referencing images is proposed in this paper. This method first grabs images with cells and then removes the cells after locating them on the slide by image segmentation. Next, the regions of removed cells are filled by the thin-plate spline interpolation to obtain background images. Then, two methods used for estimating illumination difference from the background images are provided. Finally, the illumination compensation is made by adding the input image and the illumination difference image. Experiments show that the methods proposed can remove uneven illumination without using white-referencing images.



中文翻译:

基于照度差估计的显微镜图像照度补偿

通过图像处理测量细胞中DNA相对含量的DNA倍性分析在癌症诊断中具有广泛的应用。但是,由于照度不均匀,同一细胞在不同位置的测量结果会有所不同,可能会降低测量精度和诊断性能。提出了许多方法来补偿不均匀的照明,但是它们通常针对图像增强,分割或识别,因此不适合细胞测量。为了解决这个问题,本文提出了一种不使用白色参考图像的补偿方法。此方法首先使用单元格捕获图像,然后通过图像分割将它们定位在幻灯片上后将其删除。下一个,通过薄板样条插值法填充去除细胞的区域以获得背景图像。然后,提供了两种用于从背景图像估计照度差的方法。最后,通过将输入图像和照度差图像相加来进行照度补偿。实验表明,所提出的方法可以在不使用白色参考图像的情况下消除不均匀照明。

更新日期:2021-03-27
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