期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303100
出版社：S&S Publications
摘要：Algal bloom in an aquatic system, affects the inland ecosystem by producing toxins and it depletes theoxygen level in water, which causes death of organism. In this paper, a modified algal bloom recognition algorithmbased on threshold segmentation is proposed for detecting and segmenting the algal blooms. The Modified ABRalgorithm 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 insecond step the image is classified as with algal bloom or without algal bloom and in the third step, image is segmentedbased on the clustered image. The algorithm was tested on series of images and the results shows that it can accuratelysegment the algal blooms from background. The proposed algorithm achieves 91.5% accuracy in segmenting theimage
