J4

• 计算机科学 • 上一篇    下一篇

显微图像自动分析中的细胞定位识别

邱菊, 马驷良, 张忠波   

  1. 吉林大学 数学研究所, 长春 130012
  • 收稿日期:2007-10-17 修回日期:1900-01-01 出版日期:2008-07-26 发布日期:2008-07-26
  • 通讯作者: 马驷良

Cell Fixed Position Recognition in Micro Image Auto Analysis

QIU Ju, MA Siliang, ZHANG Zhongbo   

  1. Institute of Mathematics, Jilin University, Changchun 130012, China
  • Received:2007-10-17 Revised:1900-01-01 Online:2008-07-26 Published:2008-07-26
  • Contact: MA Siliang

摘要: 给出一种利用计算机技术自动识别显微细胞准确位置及检测细胞个数的方法. 对显微细胞图像进行增强处理后, 利用圆弧算法准确定位细胞的位置, 再根据红白细胞的自身特点从图片中有效地分离出红白细胞, 对其进行识别和定量分析. 实验结果表明, 该算法能有效地识别细胞的位置并加以区分, 减少了人为因素的误诊, 并提高了诊断效率和精度.

关键词: 细胞识别, 医学图像处理, 圆弧定位

Abstract: This paper presents a method to locate and count the cells based on the computer automatic recognition technique. After enhancing the microcell image, we use circular arc algorithm to locate the cells accurately Then the red cells were distinguished from white cells in the image effectively by using their features, after which we recognized and analyzed those cells quantitiyely. Experimental results show the proposed algorithm can locate and distinguish the cells effectively, and also reduce the wrong diagnosis caused by human being. It enhances the diagnosis efficiency and accuracy.

Key words: cell identifies, medical science picture processing, arc fixed position

中图分类号: 

  • TP301