摘要
基于计算机视觉和模式识别理论,研究自动和便捷的的藻类检测分类系统,实现提高检测的准确性和工作效率,实现水生生物的自动检测、分类与存储。
We studied automatic and convenient algae detection classification system based on computer vision and pattern recognition theory to improve the detection accuracy and efficiency and realize automatic detection, classification and storage of the aquatic organism.
出处
《黑龙江环境通报》
2014年第2期32-34,共3页
Heilongjiang Environmental Journal
关键词
水生生物
计算机视觉和模式识别
自动检测
分类与存储
Aquatic organism Computer vision and pattern recognition Automatic detection Classification and storage