会议专题

Research on Automatic Analysis Algorithm of Red Tide Algae Image in Offshore

  In order to analyze the types and quantities of harmful algae contained in seawater,early monitoring and forecasting of red tide algae development was carried out,and a computer automatic identification system for red tide algae images was developed.Image processing technology was used to extract algae image morphology and texture features,and genetic algorithm was used to select features.On this basis,a neural network is used to establish a classifier to classify and identify algae images.The results show that the system can effectively improve the learning ability and classification performance,and achieve good classification and recognition of the three main algae that cause red tide.The analysis results are less than the results of manual counting and recognition.

Automatic Analysis Red Tide Algae Image Identify

Renying Song

Ningde Normal University,Ningde,Fujian,352100

国际会议

2018 2nd International Conference on Systems,Computing,and Applications (SYSTCA 2018) 2018第二届系统、计算和应用国际会议

深圳

英文

277-280

2018-10-27(万方平台首次上网日期,不代表论文的发表时间)