农业机械学报2012，Vol.43Issue(10)：174-178,5.DOI:10.6041/j.issn.1000-1298.2012.10.031
基于图像处理的圆褐固氮菌浓度快速检测方法
Rapid Detection of Azotobacter chroococcum Concentration Based on Image Processing
摘要
Abstract
A measuring method using image processing techniques for the rapid detection of Azotobacter chroococcum was put forward. Based on the microscopic image collection, preprocessing, segmentation and feature extraction, as well as the support vector machine ( SVM) identification, classification and counting, Azotobacter chroococcum concentration density was acquired. The rapid Azotobacter chroococcum activity detection was realized. Experiments showed that detection precision of the proposed method was higher, and its relative error was less than 4% compared with precisely manual counting. Meanwhile, the detection method was more time saving. As for the other special detecting devices, the measuring detection cost was much lower.关键词
圆褐固氮菌/图像处理/支持向量机/检测Key words
Azotobacter chroococcum/ Image processing/ Support vector machine / Detection分类
信息技术与安全科学引用本文复制引用
张荣标,黄义振,孙晓军,杨宁,洪杨英..基于图像处理的圆褐固氮菌浓度快速检测方法[J].农业机械学报,2012,43(10):174-178,5.基金项目
江苏省高校优势学科建设工程资助项目(苏政办发(2011)6号) （苏政办发(2011）
