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Harmful Algae Blooms Prediction using Fuzzy-C Means Clustering Algorithm


R. Dhivya , Bharathiar University


Harmful Algae Blooms, Preprocessing, Clustering, Segmentation, Image Processing


A good value perceptive of the population dynamics of algal area is crucial in several ecological and pollution studies of freshwater and also in oceanic systems. This paper reviews the subsequent introduction of harmful algal communities using image processing techniques like image preprocessing, clustering, and segmentation. It provides a method to detect the harmful algae blooms in water. Mainly algal blooms are not dangerous, but assured types of algae may cause a risk to human being, flora and fauna and stream quality. In this paper an Image Processing system is developed to detect an automatic assessment of these harmful algae blooms in water.

Other Details

Paper ID: IJSRDV4I100051
Published in: Volume : 4, Issue : 10
Publication Date: 01/01/2017
Page(s): 60-62

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