荧光法在赤潮图像分析中应用

Fluorescence-assisted image analysis of harmful microalgae

为解决探测和分析包含复杂背景沉淀物样品中的微藻的问题,利用微藻类在一定波长光的照射下会产生荧光的特性,对裸甲藻等多种藻类进行荧光实验处理。并在荧光实验的基础上进行阈值分割,轮廓和纹理分析及图像识别等后继图像处理,实验证明,荧光法可以有效的去除背景噪声,使得后继的图像处理容易和有效,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。

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 illumination of certain excitation waves. The project takes grey-scale and fluorescent pictures of microalgae in the same field of view and uses image processing techniques to deal with the irnages, such as threshold segmentation, contour and texture analysis and pattern recognition. The results show that fluorescent images can effectively eliminate the yavwp 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.