A System for Identification of Marine Phytoplankton
Identification of marine phytoplankton microscopic images is one of most popular topics in recent research. In this article, we present a system that assists scientists in identifying kinds of marine phytoplankton. First, we built a large image database which represented common phytoplankton species of Chinas seas areas. More than that, our database will keep expanding because we allow users to submit their own phytoplankton images. Second, we provided an automatic recognition module. In this module, we completed image segmentation with improved region growing, feature extraction based moments, finally classification via SVM and so on. Third, we developed some services to serve the specialist and nonspecialists. In one word, with this system, nonspecialists without professional knowledge can identify any species in given images, and specialists have a brand-new working platform to try their own ideas in marine phytoplankton identification.
marine phytopolankton automatic recognition improved region growing moments SVM
Su Cuiping Yang Chenhui Lin Huizhen Kang Lin
Department of Computer Science Xiamen University Xiamen, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
2107-2111
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）