摘要
研究了一种显微细胞图像有形成分自动识别方法,首先针对显微细胞复杂成分的现状,运用了相关的图像预处理方法,明显的提高了图像的对比度和清晰度.随后着重研究了在显微细胞图像处理时的图像分割、特征提取以及细胞特征识别等方法,得到了一套算法流程,它能够快速、准确的识别细胞.最后用该方法对常见的四种细胞图像样本进行测验,实验结果验证了该方法的有效性.
Automatic identification of microscopic cell image is studied in this paper. Firstly, considering the status of the complicated cellular components, the corresponding method is applied to image preprocessing, the contrast and resolution of the image is significantly improved. Then, the image segmentation, feature extraction and cell identification are emphatically studied, gaining a set of algorithms process to identify cell speedy and precisely. Finally, this method is tested by using four kinds of common cells samples, results verify the effectiveness of the method.
出处
《计算机系统应用》
2015年第5期11-18,共8页
Computer Systems & Applications
基金
国家自然科学基金(61304095
51204115)
江苏省自然科学基金(BK20130317)
江苏省博士后科研资助计划(1302103B)
关键词
显微细胞
有形成分
自动识别
图像处理
microscopic cells
visible components
automatic identification
image processing
