尿沉渣图像红白细胞自动分割与识别算法研究  

An automatic segmentation and recognition algorithm for red and white cells in urine sediment images

作　　者：白渊海[1] 

机构地区：[1]西安科技大学通信与信息工程学院,陕西西安710054

出　　处：《现代电子技术》2013年第17期118-121,共4页Modern Electronics Technique

摘　　要：针对尿沉渣图像中的红白细胞,提出了一种基于组合思想的分割方法,即对图像进行三层处理,将各层的分割结果进行融合,从而通过多信息互补的方法得到完整的分割结果。设计了两级集成SVM分类器对红白细胞进行识别。实验证明,提出的整套算法简洁高效,精度高,具有较强的普适性。A segmentation method based on combination thoughts for the red and white cells in the urine sediment images is proposed, in which images are splitted into three layers, and the segmentation results of each layer are fused to get a com-plete segmentation result through multi-information complementary. Two-level integrated SVM classifier was designed to identify the red and white cells. The experiment results show that the algorithm proposed is not only simple and efficient, but also has high precision and strong universality.

关 键 词：尿沉渣 图像分割 多信息互补 SVM 

分 类 号：TN957.52[电子电信—信号与信息处理]