Above all , the paper puts forward a way of automatic detection of microimage of cell and lays a good foundation for a further study 全文给出了解决细胞显微图像的自动化检测的技术途径和实现方案，为进一步的研究打下了基础。
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In view of the above mentioned problem , the author adopts information technology such as image processing and pattern recognition to research into the method of automatic analysis and classification . in accordance with the difficulty in medical image analysis ( for example , the background of microimage of section is complicated and is difficult to be segmented . ) , the paper puts forward two kinds of segmentation methods based on standardized colorful space and rgb and hsv colorful model 本文针对上述问题，用计算机图像处理及模式识别等信息技术对显微细胞图像的自动分析和分类的方法进行了研究，并针对医学图像分析中的难点（例如，显微切片图像背景复杂，分割困难） ，提出了基于归一化彩色空间和rgb ， hsv彩色模型的两类分割方法：利用模式识别技术中关于特征向量空间聚类的方法实施真彩色分割。
