Automatic Segmentation for Ovarian Cancer Immunohistochemical Image Based on Chroma Criterion

摘要：

Immunohistochemical color image segmentation has important application value for quantitative assessment of immunohistochemical image. In this paper, an automatic segmentation method was proposed according to characteristics of color immunohistochemical images. First of all, we established a Chromatics criteria in RGB space so that positive cells regional and negative cells region were separated automatically and two new images-image A and image B were generated. Then, on the basis of the results, the improved ISODATA clustering algorithm was used in segmenting: ①Determine the initial cluster center of image A and image B; ②Extract positive cells of image A on R component and negative cells of image B on B component using ISODATA clustering algorithm. The improved ISODATA clustering algorithm reduced the sample amounts and enhances the computing speed. The experimental results showed that the method can be a good segmentation of ovarian cancer immunohistochemical images.

关键词： immunohistochemical image chromaticity criteria ISODATA clustering algorithm

作者: Jiwen Dong Jing Li Jian Lu Aifang Fu

作者单位: School of Information Science and Engineering University of Jinan Jinan, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 147-150

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）