A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of nominal direction of arrival and angular spread using an array of sensors
Signal Processing - Special issue on subspace methods, part I: array signal processing and subspace computations
Primitive Features by Steering, Quadrature, and Scale
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIAM Review
DOA and frequency estimation using fast subspace algorithms
Signal Processing
Signal Processing - Special issue on fuzzy logic in signal processing
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Geometric matching of circular features by least squares fitting
Pattern Recognition Letters
Subspace-based frequency estimation of sinusoidal signals in alpha-stable noise
Signal Processing - Signal processing with heavy-tailed models
Exponential sinusoidal modeling of transitional speech segments
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Fast Boundary Detection: A Generalization and a New Algorithm
IEEE Transactions on Computers
Fourier-based geometric shape prior for snakes
Pattern Recognition Letters
Distance regularized level set evolution and its application to image segmentation
IEEE Transactions on Image Processing
Reconstructing polygons from moments with connections to arrayprocessing
IEEE Transactions on Signal Processing
Shape from moments - an estimation theory perspective
IEEE Transactions on Signal Processing
Formulation and solution of structured total least norm problemsfor parameter estimation
IEEE Transactions on Signal Processing
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Subspace-Based and DIRECT Algorithms for Distorted Circular Contour Estimation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Hand posture classification by means of a new contour signature
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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In this paper, we discuss the problem of recovering a star-shaped contour with the assumption that the contour coordinates can be decomposed into damped sinusoids. We propose a signal generation method derived from the array processing paradigm, which yields the center and radius of a circle fitting the contour. Starting from an initialization circle, we propose to estimate the oscillations of the expected contour around this circle with a method which copes with noise and strong concavities. We adopt a signal characterization method which provides the parameters of damped sinusoids. In addition, we propose a refinement step based on an optimization method which improves the adequation of the collected signals to the proposed model. The novel proposed method is compared with an approach based on signal generation and gradient optimization method, and with GVF method. The experiments show that the proposed method offers a significant improvement in terms of pixel bias and computational load, in particular when strongly concave contours in noisy images are considered. Moreover, the computational load of the proposed method is independent from the contour concavity and the noise level.