In virtual histology, responsibilities of analysis of various illnesses are completed by way of evaluation of the content in images. however, variation in coloration of the samples makes it challenging to provide green outcomes. This paper affords a scheme for the complete normalization, to deal with the trouble of version in histology photos resulting from both inconsistent staining or nongeneral situation of imaging. This approach identifies causes of version based totally on a imaging version and solve the hassle of inconsistency in biopsy imaging and staining via an illuminant and a spectral normalization module, respectively. because the S.W records proposed on this paper generates solid and dependable color cues for the normalization. This scheme is strong to parameters and insensitive to content material of the photograph and achromatic colorations. The experimentation proves that this approach is the first-rate approach that succeeds to maintain information after normalization.