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An Application of Manifold Learning in Global Shape Descriptors
With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets.
Application of Independent Component Analysis Techniques in Speckle Noise Reduction of Retinal OCT Images
Therefore the need for speckle noise reduction techniques is of high importance.
Sparse And Low Rank Decomposition Based Batch Image Alignment for Speckle Reduction of retinal OCT Images
Optical Coherence Tomography (OCT) is an emerging technique in the field of biomedical imaging, with applications in ophthalmology, dermatology, coronary imaging etc.
Fast Mesh-Based Medical Image Registration
The minimization process was achieved using a mesh based discretization of the distance measure and regularization term which resulted in a sparse system of linear equations, which due to the smaller size in comparison to the pixel-wise registration method, can be solved directly.
State-of-the-Art in Retinal Optical Coherence Tomography Image Analysis
Here, the focus is on applications of OCT in ophthalmology and retinal imaging.
