病变细胞显微图像分析与识别技术的研究

依据病变细胞的形态和颜色特征,我们提出了一种基于RGB和HIS彩色空间的自适应自动阈值分割算法,该算法能有效地将病变细胞的胞核从复杂的背景中提取出来.在分割图像的基础上,应用canny边缘检测算法提取出细胞边缘,采用八链码跟踪技术提取出细胞的特征值.为了同正常细胞比较,同时提取了正常细胞的特征值,并提出了二步识别算法以对正常和病变细胞进行识别.实验结果表明,该系统能有效地分割血细胞图像并且诊断率较高.

Microscopic Image Analysis and Recognition on Pathological Cells

According to the features of the configuration and color information on the pathological cells,an adaptive automatic threshold segmentation based on the RGB and HIS color spaces was presented,which was available to segment suspected cancer cells and nucleus from the complex backgrounds in the microscopic images.The edges of the suspected cells and nucleus were detected by using Canny operator.Using the technology of eight chain codes tracking,the feature values of suspected cells were extracted.The transcen...