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In image compression, block-based transforms tend to be inefficient when blocks contain arbitrarily shaped discontinuities. For this reason, transforms incorporating directional information are an appealing alternative. Starting from the graph Fourier transform, in this paper we present a new transform, called Subspace-Sparsifying Steer-able DCT, that can be obtained by rotating the basis vectors...
Graphs have been widely used in image processing and understanding tasks. We introduce a novel graph generation model which greatly reduces the size of the traditional pixel-based graph. Based on the generated graph, we propose two feature extraction methods which utilize spectral graph information, and apply the features to image. Experiments show that our proposed oscillatory image heat content...
Unsupervised segmentation and contour detection remains a challenging task. In graph-based unsupervised segmentation, the formulation of the affinity graph is pivotal to segmentation performance. Conventional graph-based approaches often only define pixels as graph nodes, and may overlook important regional information. In this paper, we propose a novel scheme for affinity graph construction, where...
The midsagittal plane (MSP) separates the cerebrum into left and right hemispheres and its detection has a number of useful applications in brain image processing. We propose an automatic technique for the detection of the MSP in magnetic resonance (MR) images that uses a sheetness measure obtained from eigenanalysis of local matrix of second-order moments of 3D phase congruency responses to determine...
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