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493
Dynamical statistical shape priors for level set based tracking
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2006
"... Abstract. In recent years, researchers have proposed to introduce statistical shape knowledge into the level set method in order to cope with insufficient low-level information. While these priors were shown to drastically improve the segmentation of images or image sequences, so far the focus has b ..."
Abstract
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Cited by 102 (8 self)
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. We show how these can be integrated into a segmentation process in a Bayesian framework for image sequence segmentation. Experiments demonstrate that such shape priors with memory can drastically improve the segmentation of image sequences. 1 Level Set Based Image Segmentation In 1988, Osher
A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.
- Proc Natl Acad Sci USA
, 2008
"... Cognitively demanding tasks that evoke activation in the brain's central-executive network (CEN) have been consistently shown to evoke decreased activation (deactivation) in the default-mode network (DMN). The neural mechanisms underlying this switch between activation and deactivation of larg ..."
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Cited by 178 (1 self)
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nodes) networks during (A) auditory event segmentation, (B) visual oddball attention task, and (C) task-free resting state. GCA revealed significant causal outflow from the rFIC across tasks and stimulus modalities. In each subfigure, the thickness of the connecting arrows between two regions
Evaluation of texture segmentation algorithms
- in Proc. IEEE Conf. Computer Vision and Pattern Recognition
, 1999
"... chang, kwb or munishOcsee.usf.edu This paper presents a method of evaluating unsupervised texture segmentation algorithms. The control scheme of texture segmentation has been conceptualized as two modular processes: [l) feature computation and (2) segmentation of homogeneous regions based on the fea ..."
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Cited by 31 (0 self)
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on the feature values. Three feature extraction methods are considered: gray level co-occurrence matrax, Laws ’ texture energy and Gabor multi-channel filtering. Three segmentation algorithms are considered: fuzzy c-means clustering, square-error clustering and split-and-merge. A set of 35 real scene images
Curve/surface representation and evolution using vector level sets with application to the shape-based segmentation problem
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2007
"... Abstract—In this paper,we revisit the implicit front representation andevolutionusing the vector level set function (VLSF) proposed in [1]. Unlike conventional scalar level sets, this function is designed to have a vector form. The distance from any point to the nearest point on the front has compon ..."
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Cited by 4 (2 self)
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for multidimensional data and computationally efficient. Results in 2D and 3D of real and synthetic data will demonstrate the efficiency of the framework. Index Terms—Shape representation, level sets, deformable models, shape-based segmentation. Ç 1
Classcut for unsupervised class segmentation
- In ECCV
, 2010
"... Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method is based on a segmentation energy defined over all images at the same time, which can be optimized efficiently by techn ..."
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Cited by 37 (10 self)
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Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method is based on a segmentation energy defined over all images at the same time, which can be optimized efficiently
Active Mask Framework for Segmentation of Fluorescence Microscope Images
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet dif-ficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together
Frame based segmentation for medical images
- Communications in Mathematical Sciences
, 2010
"... Abstract. Medical image segmentation is an important but difficult problem that attracts tremendous attentions of researchers from various fields. In this paper, we propose a frame based model, as well as a fast implementation, for general medical image segmentation problems. Our model combines idea ..."
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Cited by 18 (9 self)
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. Successful segmentations of blood vessels and aneurysms in 3D CT angiography images are also presented. Key words. Image segmentation, level set method, sparse approximation, tight frames. subject classifications. 42C40, 62H35, 68U10, 70G75, 92C55 1.
Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
- In IEEE International Symposium on Biomedical Imaging: From Nano to Macro
, 2008
"... Automated detection and segmentation of nuclear and glandular structures is critical for classification and grading of prostate and breast cancer histopathology. In this paper, we present a method-ology for automated detection and segmentation of structures of interest in digitized histopathology im ..."
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Cited by 32 (4 self)
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images. The scheme integrates image information from across three different scales: (1) low-level information based on pixel values, (2) high-level information based on relationships between pixels for object detection, and (3) domain-specific information based on relationships between histo
Morphological Cursive Word Segmentation
"... Abstract. This work describes a new algorithm for segmentation of handwritten cursive words, based on the following two hypothesis: 1) there exists natural segmentation points (SPs) corresponding to disconnected characters; and 2) the physical SPs between connected characters are located in ligature ..."
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Abstract. This work describes a new algorithm for segmentation of handwritten cursive words, based on the following two hypothesis: 1) there exists natural segmentation points (SPs) corresponding to disconnected characters; and 2) the physical SPs between connected characters are located
VRONI: an engineering approach to the reliable and efficient computation of Voronoi diagrams of points and line segments
- Comput. Geom. Theory and Appl
"... We discuss the design and implementation of a topology-oriented algorithm for the computation of Voronoi diagrams of points and line segments in the two-dimensional Euclidean space. The main focus of our work was on designing and engineering an algorithm that is completely reliable and fast in pract ..."
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Cited by 56 (4 self)
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in practice. The algorithm was implemented in ANSI C, using standard floating-point arithmetic. In addition to Sugihara and Iri’s topology-oriented approach, it is based on a very careful implementation of the numerical computations required, an automatic relaxation of epsilon thresholds, and a multi-level
Results 1 - 10
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493