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Moving object detection is the basis of object tracking and classification in computer vision, which has been applied to underwater robots to execute underwater missions and do marine ecological research. The complicated scene and poor lighting condition in underwater environment usually make moving object detection difficult. To solve above problems and to detect moving object from underwater video,...
One of the key problem in underwater imaging detection is to overcome backscatter effect. It causes the decrease of image quality. Under normal illumination condition high power in the close range engender great backscatter and low power in the far distance limit detection range. In order to solve this problem, an inhomogeneous illumination system was built. The power distribution of inhomogeneous...
This paper presents a new approach of image decomposition for underwater target detection by inhomogeneous illumination based on G-Space and Partial Differential Equation (PDE). Underwater target images with high contrast visibility (less back-scattering) can be obtained within the inhomogeneous illumination field which power density is allocated inversely propotional to the rule of the light attenuation...
Based on fractal image coding and fractal neighbor distance (FND), a new method for cell image matching is proposed in this paper. The standard cell image is divided into image blocks with the same size of the object image block, then they are encoded and decoded by fractal in turn. The most optimal matching can be found according to the minimal FND. As the basic research for cell image recognition,...
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