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This paper proposes a novel and effective invariant shape representation by Radon and stationary wavelet transforms for images with complex inner shapes. The proposed method is invariant to general geometrical transformations. Instead of analyzing shapes directly in the spatial domain, the proposed method retrieves features in Radon transform domain by statistical and spectral analysis to make shapes...
Human detection is the task of finding presence and position of human beings in images, In this paper, we apply scale space theory to detection human in still images. By integrating scale space theory with histogram of oriented gradients(HOG), we designed a new feature descriptor called scale space histogam of oriented gradients (SS-HOG). SS-HOG focus on the multiple scale property of describe an...
Statistical properties of high-resolution overhead images representing different land use categories are analyzed using various local and global statistical image properties based on the shape of the power spectrum, image gradient distributions, edge co-occurrence, and inter-scale wavelet coefficient distributions. The analysis was performed on a database of high-resolution (1 meter) overhead images...
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