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Research Article

Marine Object Recognition Using Blob Analysis


Author(s): Srinivasu N , Soundararajan N,Sakthishree B
Affiliation: Professor, Department of Computer Science and Engineering, Mahendra Engineering College, Mahendhirapuri, Namakkal District, Mallasamudram, Tamilnadu, India
Year of Publication: 2016
Source: International Journal of Computing Algorithm
     
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Citation: Srinivasu N, Soundararajan N,Sakthishree B. "Marine Object Recognition Using Blob Analysis." International Journal of Computing Algorithm 5.2 (2016): 97-98.

Abstract:
In this paper, a new method of marine object recognition using blob analysis has been proposed, which is suitable to general objects recognition. A powerful foreground blob analysis is proposed to classify frontal areas. Conventionally, the main focus of the objects is recognized by prepared researchers through towed nets and human perception, which make much cost and hazard administrators and animals. Specific marine objects, box jellyfish and ocean snake, are effectively recognized in this work. Experiments conducted on picture datasets gathered by the Australian Institute of Marine Science AIMS demonstrate the adequacy of the proposed strategy.


Keywords Marine object, object recognition, jelly fish, ocean snake, blob analysis.


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@article{Mar1690599, author = {Srinivasu N,Soundararajan N,Sakthishree B}, title = {Marine Object Recognition Using Blob Analysis}, journal={International Journal of Computing Algorithm}, volume={5}, issue={2}, issn = {2278-2397}, year = {2016}, publisher = {Scholarly Citation Index Analytics-SCIA}

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  • [6] Zhang, T., Wan, L., Pang, Y. and Ma, Y., “Detection of objects in underwater images based on the discrete fractional Brownian random field” IEEE Conference on Image and Signal Processing, Vol. 2, pp. 719-723,2008.
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