Color Transfer Algorithm for Histopathological Images

Color transfer is an important process in histopathological color normalization.In order to preserve structural color,this paper proposes KSBC(K-means and SNMF basis combination)algorithm based on SPCN(structure-preserving color normalization)algorithm with clustering progress and sparse non-negative matrix factorization.Firstly,KSBC algorithm clusters image by K-means algorithm,and identifies cell structure based on cluster centers.Then we solve sparse non-negative matrix factorization model to obtain stain vectors and structure matrix,accurately combining structure matrix with the corresponding stain vectors according to the clustering results.KSBC algorithm inherits the characteristics of SPCN algorithm,and can flexibly transfer and preserve the structural color of the original image.This paper performs comparative experiments in histopathology image database,and shows that the quality evaluation metrics of image of KSBC algorithm is better than histogram specification,Reinhard,Macenko,SPCN,and higher moments algorithms,and improves residual neural network generalization performance.