显微图像自动分析中的细胞定位识别

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.

Cell Fixed Position Recognition in Micro Image Auto Analysis

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.