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IEEE SIGNAL PROCESSING MAGAZINE 2011年第2期28卷 52-68页

作者： Vidal, Rene He was coeditor of the book Dynamical Vision and has coauthored more than 100 articles in biomedical image analysis computer vision machine learning hybrid systems and robotics.

The past few years have witnessed an explosion in the availability of data from multiple sources and modalities. For example, millions of cameras have been installed in buildings, streets, airports, and cities around the world. This has generated extraordinary advances on how to acquire, compress, store, transmit, and process massive amounts of complex high-dimensional data.

关键词： Principal component analysis Polynomials Clustering algorithms Signal processing algorithms Noise Data models Subspace constraints

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A coupled schema of probabilistic atlas and statistical shape and appearance model for 3D prostate segmentation in MR images

A coupled schema of probabilistic atlas and statistical shap...

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IEEE International Conference on Image Processing

作者： S. Ghose J. Mitra A. Oliver R. Martí X. Lladó J. Freixenet J. C. Vilanova D. Sidibé F. Meriaudeau Computer Vision and Robotics Group University of Girona Girona Spain Girona Magnetic Resonance Imaging Center Girona Spain Le2i-UMR CNRS 6306 Université de Bourgogne Le Creusot France

A hybrid framework of probabilistic atlas and statistical shape and appearance model (SSAM) is proposed to achieve 3D prostate segmentation. An initial 3D segmentation of the prostate is obtained by registering the probabilistic atlas to the test dataset with deformable Demons registration. The initial results obtained are used to initialize multiple SSAMs corresponding to the apex, central and base regions of the prostate gland to incorporate local variabilities. Multiple mean parametric models of shape and appearance are derived from principal component analysis of prior shape and intensity information of the prostate from the training data. The parameters are then modified with the prior knowledge of the optimization space to achieve 2D segmentation. The 2D labels are registered to the 3D labels generated using probabilistic atlas to constrain the pose variation and generate valid 3D shapes. The proposed method achieves a mean Dice similarity coefficient value of 0.89±0.11 and mean Hausdorff distance of 3.05±2.25 mm when validated with 15 prostate volumes of a public dataset in a leave-one-out validation framework.

关键词： Image segmentation Shape Probabilistic logic Accuracy Active appearance model Computational modeling Mathematical model

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An adaptable vision system for the automatic inspection of surface defects in automotive headlamp lenses

An adaptable vision system for the automatic inspection of s...

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2011 7th IEEE International Conference on Automation Science and Engineering, CASE 2011

作者： Satorres Martínez, S. Gómez Ortega, J. Sánchez García, A. Gámez García, J. Group of Robotics Automation and Computer Vision University of Ja&#x00E9 n Spain

ISBN: (纸本)9781457717307

As a great part of the industrial inspection problems require specific, expensive, and highly complex solutions, there is the need to build flexible systems capable to be easily adapted to different models of a part. In this context, this paper proposes the use of a component-based methodology for designing and building flexible inspection systems for automotive headlamp lenses. Through computer vision, and taking into account the different elements that can be utilized in an industrial environment, we propose the use of a component based architecture for easily designing and building industrial inspection systems for this kind of parts. Within this architecture, each software, or hardware element, is encapsulated in a component with a predefined input/ouput layout and, later, it can be used considering the task inspection requirements. The main advantages of the proposed working philosophy are its flexibility, that the resulting machine vision can be easily adapted to any kind of headlamp lens, and that it is fully open to any new component (lighting system, process algorithm, industrial conveyor, etc.). This proposition has been successfully validated building an industrial prototype that was tested in both, the lab, and in a production line. © 2011 IEEE.

关键词： computer vision

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Attracting talent to increase interest for engineering among secondary school students: Team-based building of a remotely operated underwater robot

Attracting talent to increase interest for engineering among...

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2011 IEEE Global Engineering Education Conference, EDUCON 2011

作者： Villanueva, Miquel Cufi, Xevi Elfakdi, Andrés Ridao, Pere Garcia, Rafael Computer Vision and Robotics Group University of Girona E-17071 Girona Spain

ISBN: (纸本)9781612846439

This paper reports our experience in developing a team-based project activity to promote engineering programs among secondary school students. The aim of the activity is to increase the interest of students for science and technology in general, but also to promote engineering skills, capabilities and values, leading to attract more secondary school students to enrollment for engineering programs. Simple theoretical concepts are illustrated through hands-on experimentation. To achieve this goal, the students build a Remotely Operated Underwater Robot in a 2-day workshop. The robot is built using low-cost materials and the students customize their own design over the different phases of the workshop. Once the activity is completed, every team understands that with teamwork, effort and a good working strategy, every problem can be overcome. At the end of the activity, a survey is conducted through an assessment survey questionnaire which reflects different aspects related with the development of the activity and the degree to which learning of its different facets has been achieved. The responses and feedback from students serve not only to evaluate the workshop, but also as feedback for future fine-tuning of the different phases as pedagogical learning tools. © 2011 IEEE.

关键词： Students

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Spectral Clustering of Shape and Probability Prior Models for Automatic Prostate Segmentation

Spectral Clustering of Shape and Probability Prior Models fo...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： S. Ghose J. Mitra A. Oliver R. Martí X. Lladó J. Freixenet J. C. Vilanova J. Comet D. Sidibé F. Meriaudeau Le2i CNRS-UMR 6306 Université de Bourgogne Le Creusot France. Computer Vision and Robotics Group University of Girona Girona Spain Girona Magnetic Resonance Center Girona Spain Hospital Dr. Josep Trueta Girona Spain

ISBN: (纸本)9781424441198

Imaging artifacts in Transrectal Ultrasound TRUS) images and inter-patient variations in prostate shape and size challenge computer-aided automatic or semi-automatic segmentation of the prostate. In this paper, we propose to use multiple mean parametric models derived from principal component analysis (PCA) of shape and posterior probability information to segment the prostate. In contrast to traditional statistical models of shape and intensity priors, we use posterior probability of the prostate region determined from random forest classification to build, initialize and propagate our model. Multiple mean models derived from spectral clustering of combined shape and appearance parameters ensure improvement in segmentation accuracies. The proposed method achieves mean Dice similarity coefficient (DSC) value of 0.96±0.01, with a mean segmentation time of 0.67±0.02 seconds when validated with 46 images from 23 datasets in a leave-one-patient-out validation framework.

关键词： Prostate segmentation random forest statistical shape and posterior probability models spectral clustering

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WEIGHTED LIKELIHOOD FUNCTION OF MULTIPLE STATISTICAL PARAMETERS TO RETRIEVE 2D TRUS-MR SLICE CORRESPONDENCE FOR PROSTATE BIOPSY

WEIGHTED LIKELIHOOD FUNCTION OF MULTIPLE STATISTICAL PARAMET...

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IEEE International Conference on Image Processing

作者： J. Mitra S. Ghose D. Sidibe A. Oliver R. Marti X. Llado J. C. Vilanova J. Comet F. Meriaudeau Computer Vision and Robotics Group Universitat de Girona Girona Spain Le2i UMR-CNRS 6306 Université de Bourgogne Le Creusot France Girona Magnetic Resonance Imaging Center Girona Spain Hospital Dr. Josep Trueta Girona Girona Spain

This paper presents a novel method to identify the 2D axial Magnetic Resonance (MR) slice from a pre-acquired MR prostate volume that closely corresponds to the 2D axial Transrectal Ultrasound (TRUS) slice obtained during prostate biopsy. The shape-context representations of the segmented prostate contours in both the imaging modalities are used to establish point correspondences using Bhattacharyya distance. Thereafter, Chi-square distance is used to find the prostate shape similarities between the MR slices and the TRUS slice. Normalized mutual information and correlation coefficient between the TRUS and MR slices are computed to find the information theoretic similarities between the TRUS-MR slices. The maximum of the weighted likelihood function of the afore-mentioned statistical similarity measures finally yields the MR slice that closely resembles the TRUS slice acquired during the biopsy procedure. The method is evaluated for 20 patient datasets and close matches with the ground truth are obtained for 16 cases.

关键词： Biopsy Shape Histograms Prostate cancer Accuracy Magnetic resonance imaging Probes

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Radiometric calibration by transform invariant low-rank structure

Radiometric calibration by transform invariant low-rank stru...

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作者： Lee, Joon-Young Shi, Boxin Matsushita, Yasuyuki Kweon, In-So Ikeuchi, Katsushi Robotics and Computer Vision Lab KAIST Korea Republic of University of Tokyo Japan Microsoft Research Asia China

ISBN: (纸本)9781457703942

We present a robust radiometric calibration method that capitalizes on the transform invariant low-rank structure of sensor irradiances recorded from a static scene with different exposure times. We formulate the radiometric calibration problem as a rank minimization problem. Unlike previous approaches, our method naturally avoids over-fitting problem;therefore, it is robust against biased distribution of the input data, which is common in practice. When the exposure times are completely unknown, the proposed method can robustly estimate the response function up to an exponential ambiguity. The method is evaluated using both simulation and real-world datasets and shows a superior performance than previous approaches. © 2011 IEEE.

关键词： Radiometry

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Using mobile relays in multi-robot exploration

Using mobile relays in multi-robot exploration

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2011 Australasian Conference on robotics and Automation

作者： De Hoog, Julian Cameron, Stephen Jiménez-González, Adrian De-Dios, J. Ramiro Martínez Ollero, Anibal Department of Computer Science University of Oxford United Kingdom Robotics Vision and Control Group University of Sevilla Spain

ISBN: (纸本)9780980740424

Many robotics tasks require autonomous exploration by teams of robots. In difficult or large environments, communication drop-out complicates this task. Several approaches exist that aim to keep the team connected, but even so there is an inherent limit to the range that can be explored. In this paper we describe and examine Role-Based Exploration, an approach that uses mobile relays to ferry information back and forth within the team, and compare it to methods that do not. There are significant advantages in the use of such relays, such as improved coordination and responsiveness, and adaptability to unexpected communication dropout. The approaches are implemented and validated on a team of real robots.

关键词： Robots

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Reducing the optimisation effort in batch mosaicing

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AIP Conference Proceedings 2012年第1期1479卷

作者： Armagan Elibol Nuno Gracia Rafael Garcia Dept. of Mathematical Engineering Yildiz Technical University Istanbul Turkey Computer Vision and Robotics Group University of Girona Girona Spain

Image mosaicing methods have become very popular thanks to the rapid progress in obtaining optical data using robotic platforms. Global alignment which is known as finding best image registration parameters taking into account overlapping image pairs is one of the essential steps of image mosaicing process in order to obtain seamless mosaics. Global alignment usually employs non-linear optimisation methods to minimise the error metric defined over correspondences detected between overlapping image pairs. In this paper, we propose a method that uses graph theory principles to reduce the total number of overlapping image pairs used in the global alignment process without disturbing the final mosaic quality. This reduction allows for obtaining image mosaics with reduced computational cost and time. The method is validated through two experiments which involve challenging underwater datasets.

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Joint Probability of Shape and Image Similarities to Retrieve 2D TRUS-MR Slice Correspondence for Prostate Biopsy

Joint Probability of Shape and Image Similarities to Retriev...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： J. Mitra S. Ghose D. Sidibé R. Martí A. Oliver X. Lladó J. C. Vilanova J. Comet F. Meriaudeau Le2i CNRS-UMR 6306 Université de Bourgogne Le Creusot France Le2i CNRS-UMR 6306 Université de Bourgogne Le Creusot France. the Computer Vision and Robotics Group University of Girona Girona Spain. the Girona Magnetic Resonance Center Girona Spain. the Hospital Dr. Josep Trueta Girona Spain.

ISBN: (纸本)9781424441198

This paper presents a novel method to identify the 2D axial Magnetic Resonance (MR) slice from a pre-acquired MR prostate volume that closely corresponds to the 2D axial Transrectal Ultrasound (TRUS) slice obtained during prostate biopsy. The method combines both shape and image intensity information. The segmented prostate contours in both the imaging modalities are described by shape-context representations and matched using the Chi-square distance. Normalized mutual information and correlation coefficient between the TRUS and MR slices are computed to find image similarities. Finally, the joint probability values comprising shape and image similarities are used in a rule-based framework to provide the MR slice that closely resembles the TRUS slice acquired during the biopsy procedure. The method is evaluated for 20 patient datasets, of which 18 results match at least one of the two clinical expert choices.

关键词： Joint Probability TRUS-MR Slice Correspondence TRUS

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