Classification of Haematococcus pluvialis cells based on Bayesian Classifier

Abstract

Haematococcus pluvialis is known as the "natural producer" of astaxanthin, and its culture stage is mainly divided into cell proliferation stage and astaxanthin accumulation stage. Because Haematococcus pluvialis cells at different stages exhibit different characteristics in terms of color and cell radius, this paper proposes a cell image division method fused with a naive Bayes classifier to solve this problem. Perform feature extraction and calculate the number of pixels in each gray level of the image to obtain the gray histogram, and then use the Bayesian algorithm to train the model for classification. Experimental results show that the classification accuracy rate can reach about 84%, and the recall rate can reach about 89%. The model trained by Bayesian algorithm can effectively solve the problem of Haematococcus pluvialis cell image classification, and provides an objective means for scientific research and management personnel to study Haematococcus pluvialis.