Journal ArticleDOI
The design and use of steerable filters
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TLDR
The authors present an efficient architecture to synthesize filters of arbitrary orientations from linear combinations of basis filters, allowing one to adaptively steer a filter to any orientation, and to determine analytically the filter output as a function of orientation.Abstract:
The authors present an efficient architecture to synthesize filters of arbitrary orientations from linear combinations of basis filters, allowing one to adaptively steer a filter to any orientation, and to determine analytically the filter output as a function of orientation. Steerable filters may be designed in quadrature pairs to allow adaptive control over phase as well as orientation. The authors show how to design and steer the filters and present examples of their use in the analysis of orientation and phase, angularly adaptive filtering, edge detection, and shape from shading. One can also build a self-similar steerable pyramid representation. The same concepts can be generalized to the design of 3-D steerable filters. >read more
Citations
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Journal ArticleDOI
Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy
Santi Seguí,Michal Drozdzal,Fernando Vilariño,Carolina Malagelada,Fernando Azpiroz,Petia Radeva,Jordi Vitrià +6 more
TL;DR: A method for the robust detection and segmentation of intestinal content in WCE images, together with its further discrimination between turbid liquid and bubbles media, which outperforms previous methods and, for the first time, discriminates between turbids from bubbles media.
Journal ArticleDOI
Colour Constancy Beyond the Classical Receptive Field
TL;DR: A dynamical adaptation mechanisms contribute to achieving higher accuracy in computational colour constancy in ASM, which is highly competitive against the state-of-the-art and it even outperforms learning-based algorithms in one case.
Book ChapterDOI
Local Scale Selection for Gaussian Based Description Techniques
TL;DR: The power of a scale equivariant feature space is validated by experimental results for point correspondences in images of different scales and the recognition of objects under different view points.
Journal ArticleDOI
Seismic Fault Preserving Diffusion
Olivier Lavialle,Sorin Pop,Christian Germain,Marc Donias,Sebastien Guillon,Naamen Keskes,Yannick Berthoumieu +6 more
TL;DR: In this article, a pre-processing step based on a non-linear diffusion filtering was proposed to improve the detection of seismic faults in 3-D reflection seismic data, where the eigenvalues of the tensor were fixed according to a confidence measure taking into account the regularity of the local seismic structure.
Book ChapterDOI
Riesz-transforms versus derivatives: on the relationship between the boundary tensor and the energy tensor
Ullrich Köthe,Michael Felsberg +1 more
TL;DR: This paper defines the quadrature-based boundary tensor and the derivative-based gradient energy tensor which exhibit very similar behavior and develops a simple and very efficient integrated feature detection algorithm.
References
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Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Journal ArticleDOI
Methods of Theoretical Physics. By P.M. Morse and H. Feschbach. 2vols., Pp.xxii, 1978. 120s. each vol. 1953.(McGraw-Hill)
Book
Methods of Mathematical Physics
Richard Courant,David Hilbert +1 more
TL;DR: In this paper, the authors present an algebraic extension of LINEAR TRANSFORMATIONS and QUADRATIC FORMS, and apply it to EIGEN-VARIATIONS.