CLUSTERING K-SVD FOR SPARSE REPRESENTATION OF IMAGES

Clustering K-SVD for sparse representation of images

Abstract K-singular value decomposition (K-SVD) is a frequently used dictionary learning (DL) algorithm that iteratively works between sparse coding and dictionary updating.The sparse coding process generates sparse coefficients for each training sample, and the sparse coefficients induce clustering features.In the applications like image processin

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Unmanned Aerial Vehicle-Based Structural Health Monitoring and Computer Vision-Aided Procedure for Seismic Safety Measures of Linear Infrastructures

Computer vision in the structural health monitoring (SHM) field has become popular, especially for processing unmanned aerial vehicle (UAV) data, but still has limitations both in experimental testing and in practical applications.Prior works have focused on UAV challenges and opportunities for the vibration-based SHM of buildings or bridges, but p

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