荧光法在赤潮图像分析中的应用

赤潮藻样品中往往包含着各种复杂的非藻沉淀物,为解决这些微藻的探测和分析的问题,可以利用微藻类在一定波长的光照射下会产生荧光的特性,对裸甲藻等多种赤潮藻类进行荧光实验处理,并在此基础上对藻类的荧光图像和灰度图象进行图像分割,轮廓和纹理分析及图象识别等后继图象处理。实验证明,荧光法可以有效的去除背景噪声,保留藻类信息,使得后继的图象处理工作更加容易和有效,从而解决了探测和分析包含复杂背景的沉淀物样品中微藻的问题。

Fluorescence-assisted Image Analysis of Harmful Microalgae

In order to realize the detection and analysis of microalgae in sediment samples with complex scenes, the project takes advantage of the character of microalgae that they can auto-fluoresce when exposed to the illumination of certain exciation waves. The project takes grey-scale and fluorescent pictures of microalgae in the same field of view and uses the image processing technique to deal with the images, such as threshold segmentation, contour and texture analysis and pattern recognition. The results show that the fluorescent image can effectively elimate the yawp in the complex background and make the consequent image processing more effective and easy. Then the project comes to the conclusion that fluorescence-assisted image processing can realize the detection and analysis of microalgae in sediment samples containing complex scenes.