An Efficient Image Segmentation Method with Application to Cell Images
This paper focuses on a concrete image segmentation application,which aims at extracting cell regions from cell images taken by the video camera on an auto microscope platform.The segmented results are further used for cancer diagnosis.The application requires that the segmentation method has the ability to fast and accurately extract cell regions from high resolution images.The proposedmethod is a combination of auto-thresholding method,watershed and morphological method.Furthermore,a novel gradient operator is proposed to improve the accuracy of edge locating.The experimental results demonstrate that our method is robust and efficient.Moreover,for any images with homogeneous background distribution,the proposed method is well applicable.
Lu ChengEn Bai Xiang Zhu Guangxi Liu Wenyu
EI Department,Huazhong Univ.of Scie.& Tech.Wuhan National lab for Optoelectronics
国际会议
9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)
北京
英文
2008-10-26(万方平台首次上网日期,不代表论文的发表时间)