Normal Patch Retinex Robust Alghoritm for White Balancing in Digital Microscopy

TL;DR

This paper introduces a new automatic white balancing algorithm for digital microscopy images, demonstrating superior effectiveness over classical methods through extensive experimental validation on various stained specimens.

Contribution

The paper presents a novel patch-based Retinex algorithm specifically designed for robust white balancing in microscopic images, improving accuracy over existing methods.

Findings

Outperforms classical white balance algorithms in microscopy

Validated on 200 microscopic images with different staining techniques

Provides more accurate color correction for pathological specimens

Abstract

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.