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This paper presents a novel two-step examplar based image in painting approach. Firstly, a coarse version of the input image is acquired in a multi-resolution way through the Digital Wavelet Transform (DWT), and then based on this image, the original missing regions of the input image are in painted with the examplar-based method. In this in painted image, most of the structures and textures in the...
A novel remote-sensing image segmentation method is presented in the framework of Normalized Cuts to solve the perceptual grouping problem by means of graph partitioning. In this method, texton is applied to obtain color features and texture features of remote-sensing image. Clustering of the original color values and the filter responses of the images is performed to find texton. The filter bank...
A new image segmentation method is proposed in the framework of Normalized Cuts to solve the perceptual grouping problem by means of graph partitioning, and the multiscale graph decomposition to obtain image features. Texture features is modeled with orientation histograms defined on the different scale level. The global optimal segmentation can be efficiently computed via graph cuts. The segmentation...
In conventional inspection algorithms, thresholds are usually decided by estimation during several experiments. The decision made by this labor intensive, and therefore costly, procedure often also involves subjective judgments. A thresholding algorithm based on mean-pseudo-trough is proposed taking full consideration of the characteristics of surface mount components. By introducing pseudo-troughs...
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