Searching for authors named "Petros Maragos" – sorted by Relevance.
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Morphological scale-space representation with levelings
- Abstract. A morphological scale-space representation is presented based on a morphological strong filter, the levelings. The scale-properties are analysed and illustrated. From one scale to the next, details vanish, but the contours of the remaining objects are preserved sharp and perfectly localise
- Cited by 4 (1 self) – Add To MetaCart
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Multiscale morphological segmentations based on watershed, flooding, and eikonal PDE
- Abstract. The classical morphological segmentation paradigm is based on the watershed transform, constructed by flooding the gradient image seen as a topographic surface. For flooding a topographic surface, a topographic distance is defined from which a minimum distance algorithm is derived for the
- Cited by 4 (1 self) – Add To MetaCart
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PDE-based modeling of image segmentation using volumic
- The classical case of morphological segmentation is based on the watershed transform, constructed by flooding the gradient image, which is seen as a topographic surface, with constant height speed. Changing the flooding criteria, (e.g constant-speed height, area or volume) yields different segmentat
- Cited by 1 (0 self) – Add To MetaCart
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Nonlinear scale-space representation with morphological levelings
- In this paper we present a nonlinear scale-space representation based on a general class of morphological strong filters, the levelings, which include the openings and closings by reconstruction. These filters are very useful for image simplification and segmentation. From one scale to the next, det
- Cited by 4 (0 self) – Add To MetaCart
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A Detection-Theoretic Approach to Texture and Edge Discrimination
- We present a probabilistic approach to the discrimination between textured areas and edges; locally defined probabilistic models are used, which model textured areas as sinusoidal and edges as phase-congruent signals. We build a link with energy-based feature detection and propose a simple approach
- Cited by 2 (2 self) – Add To MetaCart
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A.L.: Bottom-up & top-down object detection using primal sketch features and graphical models
- A combination of techniques that is becoming increasingly popular is the construction of part-based object representations using the outputs of interest-point detectors. Our contributions in this paper are twofold: first, we propose a primal-sketch-based set of image tokens that are used for object
- Cited by 4 (3 self) – Add To MetaCart
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Synergy Between Object Recognition and Image Segmentation using the Expectation Maximization Algorithm
- Abstract — In this work we formulate the interaction between image segmentation and object recognition in the framework of the Expectation Maximization (EM) algorithm. We consider segmentation as the assignment of image observations to object hypotheses and phrase it as the E-step, while the M-step
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P.: An Expectation Maximization approach to the synergy between image segmentation and object categorization
- In this work we deal with the problem of modelling and exploiting the interaction between the processes of image segmentation and object categorization. We propose a novel framework to address this problem that is based on the combination of the Expectation Maximization (EM) algorithm and generative
- Cited by 5 (3 self) – Add To MetaCart
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A Comparison of the Energy Operator and the Hilbert Transform Approach to Signal and Speech Demodulation
- 1 The Hilbert transform together with Gabor's analytic signal provides a standard linear integral approach to estimate the amplitude envelope and instantaneous frequency of signals with a combined amplitude modulation (AM) and frequency modulation (FM) structure. An alternative recent approach u
- Cited by 6 (4 self) – Add To MetaCart
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Higher-Order Differential Energy Operators
- Instantaneous signal operators \Upsilon k (x) = xx (k\Gamma1) \Gamma xx (k) of integer orders k are proposed to measure the cross energy between a signal x and its derivatives. These higherorder differential energy operators contain as a special case, for k = 2, the Teager-Kaiser operator. When
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