Corner detection in natural images based on the 2-D Hilbert transform
Signal Processing
Multi-Dimensional Signal Processin Using an Algebraically Extended Signal Representation
AFPAC '97 Proceedings of the International Workshop on Algebraic Frames for the Perception-Action Cycle
Computing the discrete-time “analytic” signal via FFT
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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The Hilbert Transform (HT) and the analytic signal (AS) are widely used in their one-dimensional version for various applications. However, in the bi-dimensional (2D) case as occur for images, the definition of the 2D-HT is not unique and several approaches to it have been developed, having as one of the main goals to obtain a meaningful 2D-AS or analytic image, which can be used for various practical applications. In this work, one particular approach to the 2D-HT is introduced that allowed the calculation of analytic images which satisfy the basic properties that these functions have in the 1D case, and that produces a 2D spectrum equal to zero in one quadrant. The methods for calculation of the discrete version of the 2D-HT and the associated AS are presented and analyzed, as well as two applications, for edge detection and for envelope detection in a 2D AM modulated radial chirp.