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Control point assessment for image registration 12

Control point assessment for image registration

引用

12th brazilian symposium on computer graphics and lmage processing, SIBGRAPI 1999

作者： Fonseca, L.M.G. Kenney, C.S. INPE São José dos Campos SP Brazil ECE Department UCSB Santa BarbaraCA93106 United States

ISBN: (纸本)0769504817

Presents several extensions of the basic control point assessment (CPA) algorithm. First, we compare CPA to standard corner detection algorithms and then turn to the question of selecting control points with adequate dispersion, since this is crucial for accurate registration. Two selection methods are proposed. the first consists of clustering the control points via the Lloyd algorithm (S.P. Lloyd, 1957, 1982) followed by selecting the dominant control point in each cluster. this "gold standard" approach produces excellent dispersion but is costly in terms of computational effort. the second selection method consists of subdividing the image and then selecting dominant control points in each subdivision. this is extremely fast and produces results comparable to the Lloyd selection method. the paper concludes with a discussion of how least-squares operator norm information can be coupled with anisotropic diffusion to produce smoothed images without corner degradation. © 1999 IEEE.

关键词： Clustering algorithms

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Automatic Segmentation of Posterior Fossa Structures in Pediatric Brain MRIs 34

Automatic Segmentation of Posterior Fossa Structures in Pedi...

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34th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Oliveira, Hugo Penteado, Larissa Maciel, Jose Luiz Ferraciolli, Suely Fazio Takahashi, Marcelo Straus Bloch, Isabelle Cesar Junior, Roberto Univ Sao Paulo Inst Matemat & Estat R Matao 1010 Sao Paulo Brazil Univ Sao Paulo Fac Med Hosp Clin Av Dr Eneas Carvalho de Aguiar Sao Paulo Brazil Sorbonne Univ CNRS LIP6 F-75005 Paris France

ISBN: (纸本)9781665423540

Pediatric brain MRI is a useful tool in assessing the healthy cerebral development of children. Since many pathologies may manifest in the brainstem and cerebellum, the objective of this study was to have an automated segmentation of pediatric posterior fossa structures. these pathologies include a myriad of etiologies from congenital malformations to tumors, which are very prevalent in this age group. We propose a pediatric brain MRI segmentation pipeline composed of preprocessing, semantic segmentation and post-processing steps. Segmentation modules are composed of two ensembles of networks: generalists and specialists. the generalist networks are responsible for locating and roughly segmenting the brain areas, yielding regions of interest for each target organ. Specialist networks can then improve the segmentation performance for underrepresented organs by learning only from the regions of interest from the generalist networks. At last, post-processing consists in merging the specialist and generalist networks predictions, and performing late fusion across the distinct architectures to generate a final prediction. We conduct a thorough ablation analysis on this pipeline and assess the superiority of the methodology in segmenting the brain stem, 4th ventricle and cerebellum. the proposed methodology achieved a macro-averaged Dice index of 0.855 with respect to manual segmentation, with only 32 labeled volumes used during training. Additionally, average distances between automatically and manually segmented surfaces remained around 1mm for the three structures, while volumetry results revealed high agreement between manually labeled and predicted regions.

关键词： Cerebellum Training Pathology image segmentation Magnetic resonance imaging Pipelines Semantics

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Parallel image segmentation using reduction-sweeps on multicore processors and GPUs

Parallel image segmentation using reduction-sweeps on multic...

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2013 26th Conference on graphics, Patterns and images, SIBGRAPI 2013

作者： Farias, Renato Farias, Ricardo Marroquim, Ricardo Clua, Esteban Programa de Engenharia de Sistemas de Computacao Universidade Federal Do Rio de Janeiro Rio de Janeiro Brazil Instituto de Computacao Universidade Federal Fluminense Niteroi Brazil

ISBN: (纸本)9780769550992

In this paper we introduce the Reduction Sweep algorithm, a novel graph-based image segmentation algorithm that is designed for easy parallelization. It is based on a clustering approach focusing on local image characteristics. Each pixel is compared with its neighbors in an implicitly independent manner, and those deemed sufficiently similar according to a color criterion are joined. We achieve fast execution times while still maintaining the visual quality of the results. the algorithm is presented in four different implementations: sequential CPU, parallel CPU, GPU, and hybrid CPU-GPU. We compare the execution times of the four versions with each other and with other closely related image segmentation algorithms. © 2013 IEEE.

关键词： graphics processing unit

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Patch-based texture synthesis using wavelets

Patch-based texture synthesis using wavelets

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SIBGRAPI 2005: 18th brazilian symposium on computer graphics and image processing - Conference Proceedings

作者： Tonietto, Leandro Walter, Marcelo Jung, Cláudio Rosito

ISBN: (纸本)0769523897

Patch-based texture synthesis builds a texture by joining together blocks of pixels - patches - of the original sample. Usually the best patches are selected among all possible using a L2 norm on the RGB or grayscale pixel values of boundary zones. the L2 metric provides the raw pixel-to-pixel difference, disregarding relevant image structures - such as edges - that are relevant in the human visual system and therefore on synthesis of new textures. We present a wavelet-based approach for selecting patches for patch-based texture synthesis. For each possible patch we compute the wavelet coefficients for the boundary region and pick the patch with the smallest error computed from the wavelet coefficients. We show that the use of wavelets as metric for selection of the best patches improves texture synthesis for samples which previous work fails, mainly textures with prominent aligned features. © 2005 IEEE.

关键词： image analysis

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Modeling the copacabana sidewalk pavement

Modeling the copacabana sidewalk pavement

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25th Conference on graphics, Patterns and images, SIBGRAPI 2012

作者： Waintraub, Tatiana Celes, Waldemar Computer Science Department PUC-Rio Rio de Janeiro Brazil Tecgraf Computer Science Department PUC-Rio Rio de Janeiro Brazil

ISBN: (纸本)9780769548296

In this paper, we propose a method to model the Copacabana beach sidewalk pavement, and Portuguese pavements in general. Given a black and white source image, the proposed method outputs the geometry of all individual stones that compose the pavement. Different from previous mosaic techniques, we focus on capturing the particularities of such pavements: the stones (tiles) must completely follow the edges, being mostly represented by irregular quadrilaterals with no particular orientation. A set of experiments demonstrates the effectiveness and stability of our proposal. © 2012 IEEE.

关键词： Pavements

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A framework for networked reactive characters 13

A framework for networked reactive characters

引用

13th brazilian symposium on computer graphics and image processing, SIBGRAPI 2000

作者： Szwarcman, Dilza Feijó, Bruno Costa, Mônica ICAD - Intelligent CAD Laboratory Department of Informatics PUC-Rio Rua Marquês de São Vicente 225 Rio de Janeiro RJ22453-900 Brazil

ISBN: (纸本)0769508782

this paper presents a framework for distributed reactive characters on a computer network and proposes innovative concepts for shared state management. Firstly, behavioral accuracy is defined in terms of three types of state (physical, procedural and emotional). Secondly, visual soundness - a concept inversely proportional to behavioral accuracy - is associated with the autonomy of clones. thirdly, the usual concept of dead reckoning is relaxed by exploring the idea of autonomy, which is the basis for networked reactive characters. the framework, built on top of an open-architecture toolkit called Bamboo, can gracefully cope with reactive environments producing good levels of visual soundness, which results in smooth animations, and behavioral accuracy. © 2000 IEEE.

关键词： Distributed computer systems

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computer-assisted Billiard Self-Training Using Intelligent Glasses 14

Computer-assisted Billiard Self-Training Using Intelligent G...

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14th International symposium on Pervasive Systems, Algorithms and Networks (I-SPAN) / 11th International Conference on Frontier of computer Science and Technology (FCST) / 3rd International symposium of Creative Computing (ISCC)

作者： Hsu, Chun-Chieh Tsai, Hou-Chun Chen, Hua-Tsung Tsai, Wen-Jiin Lee, Suh-Yin Natl Chiao Tung Univ Dept Comp Sci Hsinchu 300 Taiwan Natl Chiao Tung Univ Informat & Commun Technol Lab Hsinchu 300 Taiwan

ISBN: (纸本)9781538608401

Self-training plays an important role in sports exercise. However, if not under the instruction of a coach, it would be ineffective for most amateurs or inexperienced players to exercise on their own. therefore, establishing computer-assisted training systems for sports exercise is a recently emerging topic. In this paper, we propose a billiard self-training system, which aims at improving billiard players' performance by utilizing intelligent glasses as a wearable camera and displayer. the proposed system is able to automatically analyze user-captured images of the billiard table from multiple views and display the ball configurations on a virtual top-view table. Enriched visual presentation can be provided to give the practitioner a further sight into the game. the experiments conducted on sixteen sets of different ball configurations show promising results.

关键词： sports training ball localization intelligent glasses wearable device multi-view image processing

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brazilian bank check handwritten legal amount recognition 13

Brazilian bank check handwritten legal amount recognition

引用

13th brazilian symposium on computer graphics and image processing, SIBGRAPI 2000

作者： De Almendra Freitas, Cinthia Obladen El Yacoubi, Abdenaim Bortolozzi, Flávio Sabourin, Robert PUCPR - Pontifícia Universidade Católica do Paraná R: Imaculada Conceição 1155 Prado Velho Curitiba PR80215-901 Brazil ETS - Ecole de Technologie Supérieure 1100 rue Notre-Dame Ouest MontréalQCH3C 1K3 Canada

ISBN: (纸本)0769508782

this paper presents a system that is being developed for the recognition of the handwritten legal amount in brazilian bank checks. Our strategy used to approach the handwritten legal amount recognition problem puts on evidence the key-words: "mil", "reais/real", "centavos/centavo" which are almost always present in each amount. the recognizer, based on Hidden Markov Models, does a global word analysis, therefore, it doesn't carry out an explicit segmentation of words into characters or pseudo-characters. In this context, each word image is transformed into a sequence of observations using pre-processing and feature extraction stages. Our system, when tested on our database simulating brazilian bank checks, shows the viability of our approach. © 2000 IEEE.

关键词： Hidden Markov models

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Hierarchical Laplacian and Its Spectrum in Ultrametric image processing 14th

Hierarchical Laplacian and Its Spectrum in Ultrametric Image...

引用

14th International symposium on Mathematical Morphology (ISMM)

作者： Angulo, Jesus PSL Res Univ CMM Ctr Morphol Math MINES ParisTech Paris France

ISBN: (纸本)9783030208677;9783030208660

the Laplacian of an image is one of the simplest and useful image processing tools which highlights regions of rapid intensity change and therefore it is applied for edge detection and contrast enhancement. this paper deals with the definition of the Laplacian operator on ultrametric spaces as well as its spectral representation in terms of the corresponding eigenfunctions and eigenvalues. the theory reviewed here provides the computational framework to process images or signals defined on a hierarchical representation associated to an ultrametric space. In particular, image regularization by ultrametric heat kernel filtering and image enhancement by hierarchical Laplacian are illustrated.

关键词： Ultrametric space Semigroups on ultrametric spaces Hierarchical Laplacian Ultrametric image processing

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image-based tree detection for autonomous navigation in orchards 20

Image-based tree detection for autonomous navigation in orch...

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20th Latin American Robotics symposium (LARS) / 15th brazilian symposium on Robotics (SBR) / 14th Workshop on Robotics in Education (WRE)

作者： Cadenat, V. Durand-Petiteville, A. Billot, D. Villemazet, A. Univ Toulouse CNRS UPS Toulouse France Univ Fed Pernambuco Dept Engn Mecan Recife PE Brazil Univ Toulouse UPS F-31400 Toulouse France CNRS LAAS 7 Ave Colonel Roche F-31400 Toulouse France

ISBN: (纸本)9798350315387

this paper deals with the autonomous navigation problem through orchards. It highlights the different challenges arising in this particular environment and proposes an adequate framework. this latter relies on a reactive control strategy fed by visual data provided by a set of RGB-D cameras adequately positioned to enlarge the field of view. In this work, we show interest in coupling a deep learning solution for image-based detection with an existing point cloud processing algorithm to improve the overall perception. Experimental results validate the approach.

关键词： Agricultural robotics autonomous navigation

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