GPU Assisted Water Area Mapping Using Morphology and Image Segmentation

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Published: Jun 22, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i5.3863
Keywords:
image processing, thresholding, segmentation, gpu computing, compute capability

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Nitin Kailas Ingle
Dr. Annasaheb G. D. Bendale Mahila Mahavidyalaya, Jalgaon

Abstract

Abstract: India with the second largest population of world is under the threat of severe water scarcity, the major portion of India’s fresh water requirement is completed by rivers, rivers play very important role in providing drinking water, irrigation water, electricity, transportation and other miscellaneous works has been done with the help of rivers, in order to fulfill increasing demand for water, India needs to make clever use of all sources of water. Mapping water area of river system helps to identify the availability of water in the specific region of a river, an attempt is made to map or highlight the water area in aerial images of river, the image processing tools like morphology and segmentation is used to detect and map water areas. To enhance the computing performance GPU-accelerated computing techniques and two different NVIDIA’s graphics processing units are used. The complete work is done on actual images of Godavari River at Nasik region of Maharashtra.

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Vol. 8 No. 5 (2017): May-June 2017
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Author Biography

Nitin Kailas Ingle, Dr. Annasaheb G. D. Bendale Mahila Mahavidyalaya, Jalgaon

Assistant Professor in Electronics at Department of Electronics, Dr. Annasaheb. G. D. Bendale Mahila Mahavidyalaya, Jalgaon(M.S.), India.

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