Sensors 2013, 13(7), 9104-9131; doi:10.3390/s130709104
Article

An Early Underwater Artificial Vision Model in Ocean Investigations via Independent Component Analysis

email, email and * email
Received: 8 June 2013; in revised form: 6 July 2013 / Accepted: 8 July 2013 / Published: 16 July 2013
(This article belongs to the Special Issue Medical & Biological Imaging)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Underwater vision is one of the dominant senses and has shown great prospects in ocean investigations. In this paper, a hierarchical Independent Component Analysis (ICA) framework has been established to explore and understand the functional roles of the higher order statistical structures towards the visual stimulus in the underwater artificial vision system. The model is inspired by characteristics such as the modality, the redundancy reduction, the sparseness and the independence in the early human vision system, which seems to respectively capture the Gabor-like basis functions, the shape contours or the complicated textures in the multiple layer implementations. The simulation results have shown good performance in the effectiveness and the consistence of the approach proposed for the underwater images collected by autonomous underwater vehicles (AUVs).
Keywords: ocean investigations; AUV; early human vision system; ICA; underwater vision model
PDF Full-text Download PDF Full-Text [4525 KB, Updated Version, uploaded 21 June 2014 07:54 CEST]
The original version is still available [4525 KB, uploaded 21 June 2014 07:54 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Nian, R.; Liu, F.; He, B. An Early Underwater Artificial Vision Model in Ocean Investigations via Independent Component Analysis. Sensors 2013, 13, 9104-9131.

AMA Style

Nian R, Liu F, He B. An Early Underwater Artificial Vision Model in Ocean Investigations via Independent Component Analysis. Sensors. 2013; 13(7):9104-9131.

Chicago/Turabian Style

Nian, Rui; Liu, Fang; He, Bo. 2013. "An Early Underwater Artificial Vision Model in Ocean Investigations via Independent Component Analysis." Sensors 13, no. 7: 9104-9131.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert