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Oriented Relative Fuzzy Connectedness: Theory, Algorithms, and Applications in image Segmentation

Oriented Relative Fuzzy Connectedness: Theory, Algorithms, a...

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Hans Harley Ccacyahuillca Bejar Paulo A. V. Miranda Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR University of São Paulo (USP) São Paulo SP Brazil

ISBN: (纸本)9781479942572

Anatomical structures and tissues are often hard to be segmented in medical images due to their poorly defined boundaries, i.e., low contrast in relation to other nearby false boundaries. The specification of the boundary polarity can help to alleviate part of this problem. In this work, we discuss how to incorporate this property in the Relative Fuzzy Connectedness (RFC) framework. We include a theoretical proof of the optimality of the new algorithm, named Oriented Relative Fuzzy Connectedness (ORFC), in terms of an oriented energy function subject to the seed constraints, and show the obtained gains in accuracy using medical images of MRI and CT images of thoracic studies.

关键词： image segmentation Transforms Biomedical imaging Computed tomography Robustness Zinc

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Proceedings of the ACM symposium on Virtual Reality Software and Technology, VRST

Proceedings of the ACM Symposium on Virtual Reality Software...

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20th ACM symposium on Virtual Reality Software and Technology, VRST 2014

ISBN: (纸本)9781450332538

The proceedings contain 44 papers. The topics discussed include: robust 6-DOF immersive navigation using commodity hardware;navigating immersive virtual environments through a foot controller;anyhaptics: a haptic plug-in for existing interactive 3D graphics applications;model topology change with correspondence using electrostatics;third person view and guidance for more natural motor behaviour in immersive basketball playing;a hand posture recognition system utilizing frequency difference of infrared light;accelerating vision-based 3D indoor localization by distributing image processing over space and time;posture reconstruction using kinect with a probabilistic model;towards real-time credible and scalable agent-based simulations of autonomous pedestrians navigation;simulator sickness and presence using HMDS: comparing use of a game controller and a position estimation system;and profiling and benchmarking event- and message-passing-based asynchronous realtime interactive systems.

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Evolutionary Optimization Applied for Fine-Tuning Parameter Estimation in Optical Flow-Based Environments

Evolutionary Optimization Applied for Fine-Tuning Parameter ...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Danillo Roberto Pereira José Delpiano João Paulo Papa University of Western São Paulo - (UNOESTE) Presidente Prudente Brazil University of the Andes Santiago Chile São Paulo State University - (UNESP) Bauru Brazil

ISBN: (纸本)9781479942572

Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of parameters. Since there is a lack of research that aims to automatically tune such parameters, in this work we have proposed an evolutionary-based framework for such task, thus introducing three techniques for such purpose: Particle Swarm Optimization, Harmony Search and Social-Spider Optimization. The proposed framework has been compared against with the well-known Large Displacement Optical Flow approach, obtaining the best results in three out eight image sequences provided by a public dataset. Additionally, the proposed framework can be used with any other optimization technique.

关键词： Optical imaging Adaptive optics Optimization Equations image sequences Sociology Statistics

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Tampering Detection of Audio-Visual Content Using Encrypted Watermarks

Tampering Detection of Audio-Visual Content Using Encrypted ...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Ronaldo Rigoni Pedro Garcia Freitas Mylène C.Q. Farias Department of Computer Science Campus Universitário Darcy Ribeiro Brasília DF Brazil Department of Electrical Engineering Campus Universitário Darcy Ribeiro Brasília DF Brazil

ISBN: (纸本)9781479942572

In this paper, we present a framework for detecting tampered information in digital videos. Using the proposed technique is possible to detect several types of tampering with a pixel granularity. The framework uses a combination of temporal and spatial watermarks that do not decrease the perceived quality of the host videos. We use a modified version of Quantization Index Modulation (QIM) algorithm to store the watermarks. Since QIM is a fragile watermarking scheme, it is possible to detect local, global, and temporal tampers and also estimate the attack type. The framework is fast, robust, and accurate.

关键词： Videos Watermarking Equations Cryptography Robustness Detection algorithms Noise

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Conveyor Belt X-ray CT Using Domain Constrained Discrete Tomography

Conveyor Belt X-ray CT Using Domain Constrained Discrete Tom...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Luis F. Alves Pereira Andrei Dabravolski Ing Ren Tsang George D. C. Cavalcanti Jan Sijbers Universidade Federal Rural de Pernambuco Recife PE BR Departament of Physics University of Antwerp Antwerp Belgium Centro de Inf. Universidade Federal de Pernambuco Recife PE BR Centro de Informática Universidade Federal de Pernambuco Recife Brasil

This paper presents a reconstruction method for a conveyor belt X-ray scanning geometry, consisting of a static X-ray source/detector system and an object in uniform motion. Applying conventional reconstruction methods to data acquired in this geometry leads to severe artefacts. We show that by incorporating prior knowledge of the material as well as domain specific knowledge, such artefacts can be largely reduced. This is done by combining concepts of discrete tomography with the expected object domain.

关键词： image reconstruction X-ray imaging Geometry Detectors Computed tomography Materials

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Brain Mapping and Interpretation of Reading processing in Children Using EEG and Multivariate Statistical Analysis

Brain Mapping and Interpretation of Reading Processing in Ch...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Fabio Theoto Rocha Carlos Eduardo Thomaz Armando Freitas da Rocha Eduardo Massad FEI São Paulo Brazil Res. in Artificial & Natural Intell. Brazil FMUSP São Paulo Brazil

ISBN: (纸本)9781479942572

Difficulties in learning to read may have a number of causes and children tend to experience on the phonological route the most common disturbance in this cognitive task. Using two sample groups of children with and without reading difficulties and their corresponding EEG signals captured during the reading processing, we describe in this work a set of techniques that investigates such disturbance by generating whole brain mappings based on the entropy of each EEG electrode and non-supervised and supervised multivariate statistical analyses. Our experimental results have clearly showed specific neural organizations well suited to interpreting the word/phrase reading processing in these children. We believe that these techniques might become an effective computational tool in helping the diagnostic process of children with learning disabilities.

关键词： Electrodes Electroencephalography Loading Brain mapping Entropy Brain modeling Organizations

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Helmet Detection on Motorcyclists Using image Descriptors and Classifiers

Helmet Detection on Motorcyclists Using Image Descriptors an...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Romuere Rodrigues Veloso e Silva Kelson Rômulo Teixeira Aires Rodrigo de Melo Souza Veras Departamento de Sistemas de Informação Universidade Federal do Piauí – UFPI Picos Brasil Departamento de Computação Universidade Federal do Piauí – UFPI Teresina Brasil

Motorcycle accidents have been rapidly growing throughout the years in many countries. Due to various social and economic factors, this type of vehicle is becoming increasingly popular. The helmet is the main safety equipment of motorcyclists, however many drivers do not use it. The main goal of helmet is to protect the drivers head in case of accident. In case of accident, if the motorcyclist does not use can be fatal. This paper aims to propose a system for detection of motorcyclist without helmet. For this, we have applied the circular Hough transform and the Histogram of Oriented Gradients descriptor to extract the image attributes. Then, the MultiLayer Perceptron classifier was used and the obtained results were compared with others algorithms. Traffic images were captured by cameras from public roads and constitute a database of 255 images. Indeed, the algorithm step regarding the helmet detection accomplished an accuracy rate of 91.37%.

关键词： Feature extraction Motorcycles Head Histograms Accuracy image edge detection

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A Sketch-Based Modeling Framework Based on Adaptive Meshes

A Sketch-Based Modeling Framework Based on Adaptive Meshes

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Emilio Vital Brazil Ronan Amorim Mario Costa Sousa Luiz Velho Luiz Henrique De Figueiredo Department of Computer Science University Of Calgary Canada IMPA Instituto Nacional de Matemática Pura e Aplicada Brazil IMPA Inst. Nac. de Mat. Pura e Aplic. Brazil

ISBN: (纸本)9781479942572

In the last 15 years many systems for sketch-based modeling have been developed. Much of this work has focused on the final results and describes the solutions from a technical and practical point of view. In this paper we take a more theoretical approach to the problem of sketch-based surface modeling (SBSM) and introduce a framework for SBSM systems based on adaptive meshes. The main advantage of this approach is to split the modeling operators and the final representation, allowing the creation of SBSM systems suitable for specific domains with different demands. In addition, we present two systems built on top of this framework, one with the capability to control local and global changes to the model and one that follows domain constraints.

关键词： Adaptation models Topology Geometry Computational modeling Surface treatment Solid modeling Approximation methods

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Automatic Segmentation of Specular Reflections for Endoscopic images Based on Sparse and Low-Rank Decomposition

Automatic Segmentation of Specular Reflections for Endoscopi...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Fabiane da Silva Queiroz Ing Ren Tsang Centro de Informtica Federal University of Pernambuco - UFPE Brazil Centro de Informtica Fed. Univ. of Pernambuco - UFPE Recife Brazil

Endoscopy is a minimally invasive medical diagnostic procedure that is used to provide a realistic view of the surfaces of organs inside human body. images taken during such procedures largely show tissues of human organs. Due to the presence of mucosa of the gastrointestinal tract or other characteristics of the human body, these surfaces usually have a glossy appearance showing specular reflections. For many image analysis algorithms, these distinct and bright visual mark can be a significant source of error. On other hand, these features can also be useful for image restoration and for the construction of 3D model of the organs. In this article, we propose a segmentation method of the specular regions based on sparse and low-rank decomposition using a robust PCA via accelerated proximal gradient algorithm. In contrast to the existing approaches, the proposed segmentation works without using colour image thresholds. Moreover, the proposed method presents more precise segmentation results represented by grayscale masks instead of binary masks.

关键词： image segmentation image color analysis Gray-scale Principal component analysis Robustness Optimization Erbium

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Interactive Object Class Segmentation for Mobile Devices

Interactive Object Class Segmentation for Mobile Devices

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Ignazio Gallo Alessandro Zamberletti Lucia Noce Department of Theoretical and Applied Sciences University of Insubria Varese Italy

ISBN: (纸本)9781479942572

In this paper we propose an interactive approach for object class segmentation of natural images on touch-screen capable mobile devices. The key research question to which this paper tries to give an answer is: can we effectively correct the errors committed by an automatic or semi-automatic figure-ground segmentation algorithm while also providing real time feedback to the user on a low computational power mobile device? Many research works focused on improving automatic or semi-automatic figure-ground segmentation algorithms, but none tried to take advantage of the existing touch-screen technology integrated in most modern mobile devices to optimize the segmentation results of these algorithms. Our key idea is to use super-pixels as interactive buttons that can be quickly tapped by the user to be added or removed from an initial low quality segmentation mask, with the aim of correcting the segmentation errors and produce a satisfying final result. We performed an extensive analysis of the proposed approach by implementing it both on a desktop computer and a mid-range Android device, even though our method is extremely simple, the results we obtained are comparable with those achieved by other state-of-the-art interactive segmentation algorithms. As such, we believe that the proposed approach can be exploited by most image editing mobile applications to provide a simple but highly effective method for interactive object class segmentation.

关键词： image segmentation image color analysis Mobile handsets Accuracy Real-time systems Mobile communication Clustering algorithms

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