Principal Component Analysis Based Underwater Object Recognition

Abstract:

In this paper, the principal component analysis method is applied in the underwater image data for detecting the image objects. The system is designed to assist the underwater monitor system survey operations, specialized to the task of object identification. Firstly, the nature of the underwater is analyzed according to the image formation model and the appearance. Then, the discipline of the principal component analysis is theoretically analysis. Third, the principal component analysis method is applied in the underwater image for dimension reduction, extracting the image feather for recognition. Experimental results, which have been performed on a set of real underwater images, demonstrate the robustness and the accuracy of the principal component analysis in the task of underwater object recognition.

• Periodical: Advanced Materials Research (Volumes 850-851)
• Pages: 817-820
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.850-851.817
• Online since: December 2013
• Authors: Chen Ming Li, Zhe Chen, Jie Shen, Xin Wang, Hui Bin Wang*
• Keywords: Object Recognition, Principal Component Analysis (PCA), Redundancy, Underwater Image

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