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A Thin-Plate Spline Based Multimodal Prostate Registration with Optimal Correspondences

A Thin-Plate Spline Based Multimodal Prostate Registration w...

引用

International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Jhimli Mitra Arnau Oliver Robert Martí Xavier Lladó Joan C. Vilanova Fabrice Meriaudeau Laboratoire Le2I - UMR CNRS 5158 Université de Bourgogne Le Creusot France Computer Vision and Robotics Group University of Girona Girona Spain Clinica Girona Girona Spain

Accurate extraction of prostate biopsy samples during Transectal Ultra Sound (TRUS) guided prostate biopsy is facilitated with the registration of pre-acquired Magnetic Resonance (MR) images with the Ultrasound (US) images. This paper proposes a novel method of generating optimal correspondences to register the MR and US images using Thin-Plate Splines (TPS) transformation. The correspondence generation method exploits the prostate shape geometry in both the modalities and is fully automatic. Normalized Mutual Information (NMI) is employed for the quantitative determination of optimal number of correspondences in terms of maximization of registration similarity. Qualitative registration results, that conform to the NMI measures are also shown for different numbers of correspondences. Shepard's interpolation method is used with the TPS in order to deal with the interpolation error of backward TPS transformation. The accuracy of our method of correspondence generation is qualitatively evaluated in comparison with two intuitive geometric contour sampling methods. An average Dice Similarity Coefficient (DSC) value of 0.97 ± 0.01 for 4 patient datasets is obtained for the TPS registration using our novel method of correspondences.

关键词： Interpolation Biopsy Image resolution Pixel Spline Sampling methods Imaging

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GABOR-BASED TEXTURE CLASSIFICATION THROUGH EFFICIENT PROTOTYPE SELECTION VIA NORMALIZED CUT

GABOR-BASED TEXTURE CLASSIFICATION THROUGH EFFICIENT PROTOTY...

引用

16th IEEE International Conference on Image Processing

作者： Melendez, Jaime Puig, Domenec Angel Garcia, Miguel Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira I Virgili University Spain Department of Informatics Engineering Autonomous University of Madrid Spain

ISBN: (纸本)9781424456536

This paper presents a new efficient technique for supervised pixel-based texture classification. The proposed scheme first performs a selection process that automatically determines a subset of prototypes that characterize each texture class based on the outcome of a multichannel Gabor wavelet filter bank. Then, every image pixel is classified into one of the given texture classes by using a K-NN classifier fed with the prototypes determined previously. The proposed technique is compared to previous texture classifiers by using both Brodatz and real outdoor textured images.

关键词： Pixel-based texture classification multichannel Gabor wavelet filters prototype selection

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On adapting the tensor voting framework to robust color image denoising

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13th International Conference on computer Analysis of Images and Patterns, CAIP 2009

作者： Moreno, Rodrigo Garcia, Miguel Angel Puig, Domenec Julià, Carme Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Av. Països Catalans 26 Tarragona 43007 Spain Department of Informatics Engineering Autonomous University of Madrid Cra. Colmenar Viejo Km 15 Madrid 28049 Spain

ISBN: (纸本)3642037666

This paper presents an adaptation of the tensor voting framework for color image denoising, while preserving edges. Tensors are used in order to encode the CIELAB color channels, the uniformity and the edginess of image pixels. A specific voting process is proposed in order to propagate color from a pixel to its neighbors by considering the distance between pixels, the perceptual color difference (by using an optimized version of CIEDE2000), a uniformity measurement and the likelihood of the pixels being impulse noise. The original colors are corrected with those encoded by the tensors obtained after the voting process. Peak to noise ratios and visual inspection show that the proposed methodology has a better performance than state-of-the-art techniques. © 2009 Springer Berlin Heidelberg.

关键词： Pixels

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Gabor-based texture classification through efficient prototype selection via normalized cut

Gabor-based texture classification through efficient prototy...

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IEEE International Conference on Image Processing

作者： Jaime Melendez Domenec Puig Miguel Angel Garcia Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Spain Department of Informatics Engineering Autonomous University of Madrid Spain

关键词： Prototypes Gabor filters Pixel Feature extraction Filter bank Testing Intelligent robots Image texture analysis Pattern recognition Image recognition

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Robust color edge detection through tensor voting

Robust color edge detection through tensor voting

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IEEE International Conference on Image Processing

作者： Rodrigo Moreno Miguel Angel Garcia Domenec Puig Carme Julià Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain

This paper presents a new method for color edge detection based on the tensor voting framework, a robust perceptual grouping technique used to extract salient information from noisy data. The tensor voting framework is adapted to encode color information via tensors in order to propagate them into a neighborhood through a voting process specifically designed for color edge detection by taking into account perceptual color differences, region uniformity and edginess according to a set of intuitive perceptual criteria. Perceptual color differences are estimated by means of an optimized version of the CIEDE2000 formula, while uniformity and edginess are estimated by means of saliency maps obtained from the tensor voting process. Experiments show that the proposed algorithm is more robust and has a similar performance in precision when compared with the state-of-the-art.

关键词： Robustness Image edge detection Tensile stress Voting Colored noise Color Detectors Eigenvalues and eigenfunctions Intelligent robots computer vision

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A new methodology for evaluation of edge detectors

A new methodology for evaluation of edge detectors

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IEEE International Conference on Image Processing

作者： Rodrigo Moreno Domenec Puig Carme Julià Miguel Angel Garcia Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain

This paper defines a new methodology for evaluating edge detectors through measurements on edginess maps instead of on binary edge maps as previous methodologies do. These measurements avoid possible bias introduced by the application-dependent process of generating binary edge maps from edginess maps. The features of completeness, discriminability, precision and robustness, which a general-purpose edge detector must comply with, are introduced. The R, DS, P and FAR-measurements in addition to PSNR applied to the edginess maps are defined to assess the performance of edge detection. The R, DS, P and FAR-measurements can be seen as generalizations of previously proposed measurements on binary edge maps. Well-known and state-of-the-art edge detectors have been compared by means of the new proposed metrics. Results show that it is difficult for an edge detector to comply with all the proposed features.

关键词： Image edge detection Detectors Intelligent robots Robustness Robot vision systems computer vision computer science Mathematics Informatics Tin

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Quantifying perception of nonlinear elastic tissue models using multidimensional scaling

Quantifying perception of nonlinear elastic tissue models us...

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World Haptics Conference

作者： Sarthak Misra Philipp Fuernstahl K. T. Ramesh Allison M. Okamura Matthias Harders Laboratory of Computational Sensing & Robotics Johns Hopkins University Baltimore MD USA Virtual Reality in Medicine Group Computer Vision Laboratory ETH Zurich Zurich Switzerland

Simplified soft tissue models used in surgical simulations cannot perfectly reproduce all material behaviors. In particular, many tissues exhibit the Poynting effect, which results in normal forces during shearing of tissue and is only observed in nonlinear elastic material models. In order to investigate and quantify the role of the Poynting effect on material discrimination, we performed a multi-dimensional scaling (MDS) study. Participants were presented with several pairs of shear and normal forces generated by a haptic device during interaction with virtual soft objects. Participants were asked to rate the similarity between the forces felt. The selection of the material parameters - and thus the magnitude of the shear and normal forces - was based on a pre-study prior to the MDS experiment. It was observed that for nonlinear elastic tissue models exhibiting the Poynting effect, MDS analysis indicated that both shear and normal forces affect user perception.

关键词： Multidimensional systems Surgery Computational modeling Haptic interfaces Biological materials Shearing Humans computer simulation computer vision Biological tissues

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Online robust 3D mapping using structure from motion cues

Online robust 3D mapping using structure from motion cues

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OCEANS'08 MTS/IEEE Kobe-Techno-Ocean'08 - Voyage toward the Future, OTO'08

作者： Nicosevici, Tudor Garcia, Rafael Computer Vision and Robotics Group University of Girona Spain

ISBN: (纸本)9781424421268

This paper presents a complete solution for creating accurate 3D textured models from monocular video sequences. The methods are developed within the framework of sequential Structure from Motion, where a 3D model of the environment is maintained and updated as new visual information becomes available. The camera position is recovered by directly associating the 3D scene model with local image observations. Compared to standard structure from motion techniques, this approach decreases the error accumulation while increasing the robustness to scene occlusions and feature association failures. The obtained 3D information is used to generate high quality, composite visual maps of the scene (mosaics). The visual maps are used to create texture-mapped, realistic views of the scene. ©2008 IEEE.

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Towards detecting changes in underwater image sequences

Towards detecting changes in underwater image sequences

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OCEANS'08 MTS/IEEE Kobe-Techno-Ocean'08 - Voyage toward the Future, OTO'08

作者： Delaunoy, Olivier Gracias, Nuno Garcia, Rafael Computer Vision and Robotics Group University of Girona 17071 Spain

ISBN: (纸本)9781424421268

Detecting changes between images of the same scene taken at different times is of great interest for monitoring and understanding the environment. It is widely used for on-land application but suffers from different constraints. Unfortunately, Change detection algorithms require highly accurate geometric and photometric registration. This requirement has precluded their use in underwater imagery in the past. In this paper, the change detection techniques available nowadays for on-land application were analyzed and a method to automatically detect the changes in sequences of underwater images is proposed. Target application scenarios are habitat restoration sites, or area monitoring after sudden impacts from hurricanes or ship groundings. The method is based on the creation of a 3D terrain model from one image sequence over an area of interest. This model allows for synthesizing textured views that correspond to the same viewpoints of a second image sequence. The generated views are photometrically matched and corrected against the corresponding frames from the second sequence. Standard change detection techniques are then applied to find areas of difference. Additionally, the paper shows that it is possible to detect false positives, resulting from non-rigid objects, by applying the same change detection method to the first sequence exclusively. The developed method was able to correctly find the changes between two challenging sequences of images from a coral reef taken one year apart and acquired with two different cameras. ©2008 IEEE.

关键词： Change detection

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Applications of High Precision Imaging Polarimetry

Applications of High Precision Imaging Polarimetry

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4th International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging, CAe 2008

作者： Neumann, L. Hegedus, R. Horvath, G. Garcia, R. Computer Vision and Robotics Group University of Girona Icrea Spain Department of Biological Physics Biooptics Laboratory Eötvös University Budapest Hungary Computer Vision and Robotics Group University of Girona Spain

ISBN: (纸本)9783905674088

We propose the use of imaging polarimetry for general photography, which is a relatively young technique allowing the determination of polarized components of the light coming from extended objects or scenes. In this paper high resolution and accurate methods are introduced to determine the two linearly polarized components (Q;U) of light. The CIE Luv color space is used in this work to visualize the triplet of (I;Q;U) polarization image components. The structure of this color space is also highly appropriate to represent other attributes of linearly polarized light, such as the polarized intensity, degree and the angle of polarization. The accurately measured polarization components can also be efficiently used for image enhancement. In this direction, a new, polarization-based de-reflection method is proposed. This method is an optimal pixel-wise extension of the widely used photographical polarization filtering. Our method is also capable of amplifying the specular effects. Another application is de-hazing, which removes the linearly polarized component of the haze present in natural scenes, and results in a sharp and color-corrected image. Furthermore, the different combinations of visible and infrared polarization channels enable great possibilities in further de-hazing and to create artistic images. © The Eurographics Association 2008.

关键词： Image enhancement

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