Distinguishing tissue structures via polarization staining images based on different combinations of Mueller matrix polar decomposition parameters

•We proposed an image fusion method based on color spaces to combine different Mueller matrix derived parameters to provide multi-dimensional structural information pixel by pixel in a single polarization staining image.•We used the Tamura image processing and the gray level co-occurrence matrix methods to provide evaluation indices for quantitatively analyzing the texture characteristics of the polarization staining images.•We demonstrated that the information provided by the polarization staining images based on different Mueller matrix polar decomposition parameters can be used for accurate tissue structures evaluation and discrimination.