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Underwater object detection and segmentation has been attracting a lot of interest, and recently various systems have been designed. In this paper, we introduce a novel technique to automatically detect and segment objects from underwater images via saliency-based region merging. The method is composed of three main steps. Firstly, a salient object detection model is used to detect the position of...
Multi-targets tracking has shown great prospects in ocean investigations. In this paper, we apply the adaptive background mixture models to extracts the moving target from the image sequences, and propose a new method which is made use of the EKF and SURF-RANSAC to realize multi-targets tracking via multiple underwater cameras. In this method the centroid coordinate homographic mapping and the Speeded...
Computer vision has become the tool of two-dimensional image recognition and analysis, which mainly means extracting image features. But the problem of robustness and real-time property in complex scenarios makes feature extraction become a challenging task. Visual attention is an important psychological adjustment mechanism in the process of human visual information management, under the guidance...
Due to the dramatic effect of scattering caused by underwater medium, blur commonly occurs in underwater images. Moreover, colors are frequently attenuated in underwater situations, in response to the effect that water selectively absorbs light of different wavelengths. Thus, this color loss becomes one of the key features of underwater images. Most present blur/sharpness evaluation algorithms, which...
Underwater images are degraded mainly by light scattering and color distortion. Light scattering occurs because the light is reflected and deflected multiple times by the suspended particles in the water before reaching the camera. Color distortion is caused due to the absorption degrees vary according to the light wavelength. At last, the underwater images are dominated by a bluish tone. In this...
Perceiving color in water medium is always challenging due to the dense non-uniform attenuation and scattering of light across the visible spectrum. This paper presents a color restoration method for underwater objects based on multispectral images. To begin with, underwater multispectral images are obtained and restored with the influence of attenuation and scattering being eliminated by an in-suit...
Underwater multispectral images are disturbed by water absorption, dispersion and scattering etc. Previous conducts have been made to model the underwater multispectral imaging process and to restore underwater multispectral images based on water attenuation estimation. In this paper, optimization is done to determine the least number of distances (or images) which is adequate for accurate compensation...
Chaetoceros is one of the largest marine genus of phytoplankton and plays an important role in ocean ecosystem and global climate. Automatic segmentation of Chaetoceros is a challenging task due to the species' biomorphic characteristics. In this paper, we present a novel method using pixel-wise classification by Support Vector Machine (SVM) [1] combined with Grayscale Surface Direction Angle Model...
Image restoration methods have been made to repair images that have some kind of degradation. Most of these methods are designed to deal with the degradation caused by the over-land effects. However, when the images was captured in underwater environments, there are different properties that can degrade the image in unusual ways. This work aims to evaluate how the popular image restoration methods...
One of the important missions of AUVs is to take deep-sea images and make maps of sea floor to contribute the understanding of deep-sea biology and geology. The sea floor images include lots of information such as distributions of creatures, minerals and so on. The next mission expected for AUVs is to bring the samples back concurrently with taking interesting photos, autonomously. However, this mission...
This paper presents the last developments towards vision-based target tracking by an AUV. The main concepts behind the visual relative localization are provided and the results from a statistical analysis for the relative localization algorithm are presented. The purpose of this analysis is to ensure properness of data used to feed controllers that are responsible for governing the AUV motion. A new...
A system to detect macfouling and microfouling on the ship hull is always challenging. The proposed system uses computer vision to analyze types and amount of fouling on the hull for subsequent analysis. The graphical-user-interface in a mobile microprocessor can be accessed and remotely controlled using platforms such as Windows and Android phone. Experiments have been tested on 40 different fouling...
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