显微彩色图像处理在藻类识别统计中的应用  

Application in Algae Recognition and Counting of Microscopic Color Image Processing

作　　者：秦松[1] 吴沿友[1] 陈娟[1] 赵新政[1] 阙小峰[1] 

机构地区：[1]江苏大学农业装备研究院,江苏镇江212013

出　　处：《农机化研究》2006年第6期199-201,203,共4页Journal of Agricultural Mechanization Research

摘　　要：水体中藻类与水质状况之间存在着密切的关系,可根据藻类综合指数、生物多样性指数等对被监测水体的水质状况做出评价。为此,通过对水体中藻类的显微彩色图像进行处理和分析,提出了藻类显微彩色图像识别统计的方法。通过研究图像的预处理、分割和识别等过程,识别出水体中的藻类并统计出藻类细胞的个数。实验结果表明,与人工识别统计方式相比,显微彩色图像识别符合率大于90%。There is close relation between algae and the water quality condition in the water body, so an assessment based on items such as algae composite index and biological diversity index, may be made on the monitored water body. This paper puts forward an approach of algae recognition and counting based on microscopic color image processing, The approach can both recognize algae cells and calculate the total of them, through research into the treatment of pre-processing、 segmentation and recognition、 Experiment result indicates that the classification accuracy is over 90%, as compared with the artificial recognition.

关 键 词：环境工程 藻类识别统计 试验研究 图像处理 阚值分割 

分 类 号：X824[环境科学与工程—环境工程] TP391.4[自动化与计算机技术—计算机应用技术]