Normal Patch Retinex Robust Alghoritm for White Balancing in Digital Microscopy
This work addresses the problem of color accuracy in digital microscopy for pathomorphology, offering an incremental improvement over existing methods.
The paper tackles the challenge of obtaining accurately colored images in optical microscopy by introducing an automatic white balancing algorithm, which was experimentally validated on 200 microscopic images and outperformed classical color photography algorithms for specific staining types.
The acquisition of accurately coloured, balanced images in an optical microscope can be a challenge even for experienced microscope operators. This article presents an entirely automatic mechanism for balancing the white level that allows the correction of the microscopic colour images adequately. The results of the algorithm have been confirmed experimentally on a set of two hundred microscopic images. The images contained scans of three microscopic specimens commonly used in pathomorphology. Also, the results achieved were compared with other commonly used white balance algorithms in digital photography. The algorithm applied in this work is more effective than the classical algorithms used in colour photography for microscopic images stained with hematoxylin-phloxine-saffron and for immunohistochemical staining images.