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Sparse representation using the over-complete dictionary makes that decomposition coefficients are more sparse, and can reflect the inherent characteristics and structure of signals. A novel fusion method based on IHS transform and sparse representation for multi-spectral image and panchromatic image is proposed in this paper. Firstly, the IHS transform is applied to multi-spectral image. Then, the...
Text detection in images is important for the retrieval of text information from digital graph, video databases and web sites. In this paper, a text detection method based on sparse representation classification with discrimination dictionaries is presented, which can detect text with different sizes, fonts and colors. The propose method detects edge information using Sobel operator and a sliding...
In this paper, a new texture classification method using the nonsubsampled contourlet transform (NSCT) and support vector machines (SVMs) is proposed. The NSCT provides a shift-invariant, multiscale, and multidirectional image representation that has proven to be very efficient in image analysis applications. Firstly, features are extracted from NSCT coefficients of source images. In addition, SVMs,...
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