Ms. Ling-zi Xiang Profile

Ling-zi Xiang

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Proceedings Article | 30 August 2013 Paper

Research on marine and freshwater fish identification model based on hyper-spectral imaging technology

Yan Fu, Pei-yuan Guo, Ling-zi Xiang, Man Bao, Xing-hai Chen

Proceedings Volume 8910, 891015 (2013) https://doi.org/10.1117/12.2033665

KEYWORDS: Oceanography, Coastal modeling, Ocean optics, Neurons, Data modeling, Imaging spectroscopy, Statistical analysis, Reflectivity, Hyperspectral systems, Data acquisition

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With the gradually mature of hyper spectral image technology, the application of the meat nondestructive detection and recognition has become one of the current research focuses. This paper for the study of marine and freshwater fish by the pre-processing and feature extraction of the collected spectral curve data, combined with BP network structure and LVQ network structure, a predictive model of hyper spectral image data of marine and freshwater fish has been initially established and finally realized the qualitative analysis and identification of marine and freshwater fish quality. The results of this study show that hyper spectral imaging technology combined with the BP and LVQ Artificial Neural Network Model can be used for the identification of marine and freshwater fish detection. Hyper-spectral data acquisition can be carried out without any pretreatment of the samples, thus hyper-spectral imaging technique is the lossless, high- accuracy and rapid detection method for quality of fish. In this study, only 30 samples are used for the exploratory qualitative identification of research, although the ideal study results are achieved, we will further increase the sample capacity to take the analysis of quantitative identification and verify the feasibility of this theory.

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