【摘要】 采用流式细胞摄像系统(Flow Cytometer And Microscope,FlowCAM)技术,构建了福建南部海域的赤潮生物图谱数据库,并利用该数据库分别用VisualSpread软件自动识别法和描述子分析算法(MATLAB)来鉴定样品,对两种方法的识别精确度进行了比较。VisualSpreadsheet专业软件分析能力达到98.2%的平均精度,自主开发的特征描述子分类器达到94.1%的平均精度,拓展了实验设备的应用范围。更多还原

【Abstract】 An image database of red tide algae in the sea area south of Fujian is constructed by means of Flow Cytometer and Microscope(FlowCAM),with which the samples are identified by using two methods:the automatically identifying by applying VisualSpreadsheet software and the feature extracting by using a character descriptor classifier which was self-developed through MATLAB.The comparison between the two methods indicates that the application of the VisualSpreadsheet professional software can reach to an average accuracy of 98.2%,and the self-developed character descriptor classifier can achieve an average accuracy of 94.1%.These results have expanded the application scope of the experimental equipment.更多还原