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A novel video moving object segmentation algorithm based on spatio-temporal information is proposed in this paper. In temporal information extracting, the value of background noise variance is estimated by histogram fitting to overcome the shortcoming of setting the value by experience, then the significance test is applied to threshold the difference image and extract the moving areas, furthermore,...
Traditional watershed segmentation is sensitive to noise and can leads to serious over-segmentation. In order to overcome the shortcomings of traditional watershed segmentation, this paper presented an improved watershed image segmentation method. Firstly, the morphological opening/closing reconstruction filter is applied to remove the image noise. Secondly, multi-scale structure elements are used...
In this paper, we propose a new multiscale version 3D surfacelet tranform, named wavelet-based surfacelet transform (WBST). The surfacelet transform (ST) is constructed by combining the 3D directional filter banks with a multiscale pyramid structure. But the redundancy of the pyramid structure will affects the performance of ST in some redundant-sensitivity applications. To avoid the redundancy, we...
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