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Simulation of Algal Bloom Detection System Using Modified ABR Algorithm

S.Nithya Kamatchi, S.Suresh Kumar.

Algal bloom in an aquatic system, affects the inland ecosystem by producing toxins and it depletes the oxygen level in water, which causes death of organism. In this paper, a modified algal bloom recognition algorithm based on threshold segmentation is proposed for detecting and segmenting the algal blooms. The Modified ABR algorithm consists of three steps: 1) Image Preprocessing 2) Image classification using k means clustering and 3) Segmenting the algal bloom from the background water. In the first step the captured image is preprocessed, then in second step the image is classified as with algal bloom or without algal bloom and in the third step, image is segmented based on the clustered image. The algorithm was tested on series of images and the results shows that it can accurately segment the algal blooms from background. The proposed algorithm achieves 91.5% accuracy in segmenting the image.