Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2010.1682.1685Wei-YiWei Zhan-MingLi Gui-CangZhang Guo-QuanZhang 8201098Spatial intensity variations caused by illumination changes have been a challenge for microscopic image segmentation. This study presents a new scheme for color microscopic image segmentation free from the influence of uneven illumination. First extract the most important component in RGB space by the Principal Component Analysis (PCA) which can transform the high dimension to lower dimension effectively, meanwhile, build a new estimating uneven illumination model from the data required from real scene, last find out the models parameters in principal component by means of iteration method. Experiment results show that the proposed method can get better segmentation results in microscopic image under the circumstance of uneven illumination.]]>Mao, K.Z., P. Zhao and P.H. Tan,20065311531163Navarro-Jover, J.M., M. Alcaniz-Raya, V. Gomez, S. Balasch, J. R. Moreno, V. Grau-Colomer and A. Torres,20097535549Haralick, R.M and L.G. Shapiro,198529100132Sahoo, P.K., S. Soltani and A.K.C. Wong,198841230260Bleau, A. and L.J. Leon,200077317370Cheng, H.D., X.H. Jiang, Y. Sun and J. Wang,20013422592281Yuan-Yuan, C. and J. Xian-Gang,2009265257Zhi-Qiang, L., C. Fei-Yan, A. Li-Zhe and M. Yi-De,200945130137Powell, M.J.D.,1981Li, C., C. Gatenby, L. Wang and J.C. Gore,20092009pp: 218223Yeung, K.Y. and W.L. Ruzzo,200117763774Otsu, N.,197996266Bi, Y. and T. Qiu,200533647650