Abstract
Sonar images are generally used for the identification of objects under the sea. The images which are obtained by sonar technology are always gray scale images. For the identification of objects in images, the image processing technique is having some intermediate steps like filtering of noise, edge detection, and segmentation. Edge detection is one of the important steps for image segmentation and object identification. In this paper, edge detection using fuzzy logic technique and the block processing technique is compared. Subjective analysis of the result proves that the fuzzy method is better than the block processing for the identification of objects together with the shadow region in sonar images.
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Acknowledgments
I would like to show gratitude to “C-MAX Ltd., 9, Hybris Business Park, Crossways, Dorchester, Dorset DT2 8BF, UK” and also “Geo-Marine Consultants and Technocrats, Chennai” for providing SONAR images for this work and I would like to acknowledge the support of Mr. Livinson, Senior Executive—Business Development, Results Marine Private Ltd., Chennai.
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Anitha, U., Malarkkan, S. (2017). Analysis of Edge Detection Techniques for Side Scan Sonar Image Using Block Processing and Fuzzy Logic Methods. In: Satapathy, S., Bhateja, V., Joshi, A. (eds) Proceedings of the International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 469. Springer, Singapore. https://doi.org/10.1007/978-981-10-1678-3_35
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DOI: https://doi.org/10.1007/978-981-10-1678-3_35
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