Spectral edge detection in two dimensions using wavefronts
نویسندگان
چکیده
منابع مشابه
Spectral edge detection in two dimensions using wavefronts
A recurring task in image processing, approximation theory, and the numerical solution of partial differential equations is to reconstruct a piecewise-smooth real-valued function f(x), where x ∈ R , from its truncated Fourier transform (its truncated spectrum). An essential step is edge detection for which a variety of one-dimensional schemes have been developed over the last few decades. Most ...
متن کاملSe p 20 09 Spectral edge detection in two dimensions using wavefronts
A recurring task in image processing, approximation theory, and the numerical solution of partial differential equations is to reconstruct a piecewise-smooth real-valued function f (x), where x ∈ R N , from its truncated Fourier transform (its truncated spectrum). An essential step is edge detection for which a variety of one-dimensional schemes have been developed over the last few decades. Mo...
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One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...
متن کاملQuad-pixel edge detection using neural network
One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...
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This paper discusses the detection of edges from two-dimensional truncated Fourier spectral data. Compared to edge detection from pixel data, this is a more challenging problem since we seek accurate local information from a small number of often noisy global measurements. We propose a highly effective algorithm using a specific class of spectral mollifiers which converges uniformly to sharp pe...
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ژورنال
عنوان ژورنال: Applied and Computational Harmonic Analysis
سال: 2011
ISSN: 1063-5203
DOI: 10.1016/j.acha.2010.02.007