The concurrency frequencies and distribution areas of the water blooms in fresh water are increasing in China.It is not only destroying natural aquatic ecosystems

but also damaging human health.So

the study of this field is popular in recent years.To control effectively the water blooms

the important element is identifying the algae's species in the water blooms.By the coherent papers

we know the main species are blue algae

green algae and diatom etc.We develop a more effective way to identify the algae in the water blooms.Combined the microscopic imaging technology and spectrum imaging technology

we can use microscopic imaging technology for pattern classification firstly

and then use spectrum imaging technology for chemical separation of algae.Through the establishment of algae spectral cube by imaging spectrometer

which can be arbitrary pixel of the image spectrum.Two typical of the species selected for absorption spectroscopy-microcystis aeruginosa (blue algae) and chlorella pyrenoidosa (green algae).Different algae species have different pigments and different pigments have different absorption peak

so that distinguish easily between different species by absorption peak.But in the experiment

we abtained the absorption spectra superimposed of all the material in the algae.It is quite difficult to identify directly through the absorption spectra.So

we processed the spectra data using wavelet transform tools of Matlab 7.0.Wavelet transform can decompose signals into localized contributions of different frequency

it is a effective time-frequency analysis tool.Some decomposed components with some high frequency have the possibility to separate different absorption peak.By related papers and some experiences

we chose appropriate component to analysis the data.Experimental results show that the method was feasible.So

this paper provides a scientific and effective recognition way.It is of important guiding significance to prevent the water blooms.