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Representation and detection of shapes in images.
2003We present a set of techniques that can be used to represent and detect shapes in images. Our methods revolve around a particular shape representation based on the description of objects using triangulated polygons. This representation is similar to the medial axis transform and has important properties from a computational perspective.
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Image Fusion With Convolutional Sparse Representation
IEEE Signal Processing Letters, 2016Rabab Ward, Z Jane Wang, Xun Chen
exaly
Image Restoration Using Joint Patch-Group-Based Sparse Representation
IEEE Transactions on Image Processing, 2020Ce Zhu, Jiachao Zhang, Zhiyuan Zha
exaly
IMAGE ANALYSIS AND REPRESENTATION
2006SZAJNOWSKI WIESLAW JERZY, BOBER MIROSLAW
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Real-time computation of two-dimensional moments on binary images using image block representation
IEEE Transactions on Image Processing, 1998B G Mertzios
exaly