计算机应用与软件2017，Vol.34Issue(6)：212-216,261,6.DOI:10.3969/j.issn.1000-386x.2017.06.038
基于异常检测的尿沉渣图像分割
URINARY SEDIMENT IMAGE SEGMENTATION BASED ON ANOMOLY DETECTION
李悦 1嵇启春1
作者信息
- 1. 西安建筑科技大学 陕西 西安 727000
- 折叠
摘要
Abstract
In the urine sediment image, due to its sample characteristics, it makes a lot of impurities in the cell image acquisition.These impurities are irregular in shape, and the color is not single, using traditional image segmentation is difficult to remove.Aiming at this problem, an image segmentation algorithm based on anomaly detection is proposed.The algorithm uses the morphological method to extract the binary image contour, according to its contour feature extraction and marking, and an anomaly detection model is constructed using the extracted contour features and the markers.Finally, the image is segmented according to the model, and the model is evaluated quantitatively.The experimental results show that the urine sediment detection method based on the anomaly detection model can separate the impurity from the cell image with high accuracy.关键词
尿沉渣图像/形态学/异常检测Key words
Urinary sediment image/Morphology/Anomaly detection分类
信息技术与安全科学引用本文复制引用
李悦,嵇启春..基于异常检测的尿沉渣图像分割[J].计算机应用与软件,2017,34(6):212-216,261,6.
