现代电子技术Issue(17)：118-121,4.
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
白渊海1
作者信息
- 1. 西安科技大学 通信与信息工程学院，陕西 西安 710054
- 折叠
摘要
Abstract
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/SVMKey words
urine sediment/image segmentation/multi-information complementary/SVM分类
信息技术与安全科学引用本文复制引用
白渊海..尿沉渣图像红白细胞自动分割与识别算法研究[J].现代电子技术,2013,(17):118-121,4.
