Study of recognition method of phytoplankton cell image

Key Words:

Abstract:This paper talks about how to compute the phytoplankton cell image's area (A) and perimeter (P) using the mathematical morphology method, and how to calculate the length (L) and other characteristic information using the image thinning method; puts forward a way to classify the phytoplankton cell by the eigenvector which consists of the specific value of three characteristic parameters, such as A/P, A/L and P/L; then presents a tentative auto-recognizing clustering method of the phytoplankton using the nearest neighbor rule, and the method may enhance the recognition ratio through learning. According to the recognition experiments of 17 sorts of the phytoplankton cell image, the recognition rate of this method is over 95%. This method could effectively prevent the extensive area red tide and should have significance to identify the red tide that has broken out.

Volume:31

Issue:24

Translation or Not:no