双光谱在赤潮生物自动识别系统中的应用

为克服人工识别赤潮生物的困难，利用赤潮生物在一定的激发光下可以产生荧光的特性，采用基于赤潮生物的双光谱技术，研制了赤潮生物自动识别系统．该系统可以自动完成对赤潮生物图像的预处理、图像分割、特征提取、特征选择，并建立赤潮生物特征信息数据库，从而最终实现对赤潮生物识别分类．在分类过程中选用了BP神经网络分类器，与人工识别相比，识别的准确率接近90％．

Application of Double-Spectrum in an Automatic Recognition System to Harmful Algae

To overcome the difficulty in the artificial identification of harmful algae, the advantage of the autofluorescent nature of harmful algae is employed in an automatic recognition system presented in the paper, based on the technology of double-spectrum. In the system, the pre-processing, segmentation, feature extraction, feature selection, establishment of harmful algae information database and classification can be fully conducted automatically. Besides, the back-propagation neural network is used in the recognition. Experiments show that the classification accuracy of the system is up to 90%, as compared with the human identification.