Journal Paper

Paper Title - Segmentation Of Sonar Images


Abstract
Sonars are used for underwater sensing and the images obtained tends to be noisy making it difficult for interpretation. This paper focuses on development of segmentation techniques to extract regions of interest from sonar images. The noisy images are pre-processed using various filtering techniques and are enhanced using contrast stretching methods. The gray level co-occurrence features and roundness features are extracted from the regions and nearest neighbor classifier is used to classify them.


Author - Reeju Varghese, Lekshmi. S, Sherly George

Citation - Reeju Varghese   ,   Lekshmi. S   ,   Sherly George   ,   Reeju Varghese, Lekshmi. S, Sherly George " Segmentation Of Sonar Images " , International Journal of Industrial Electronics and Electrical Engineering , Volume-4,Issue-2  ( Feb, 2016 )

Indexed - Google Scholar


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| Published on 2016-03-11