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A fast pavement location approach for autonomous car navigation 19

19th Iberoamerican Congress on Pattern Recognition, CIARP 2014

作者： Rateke, Thiago Justen, Karla A. Chiarella, Vito F. Linhares, Rodrigo T. F. Sobieranski, Antonio Carlos Comunello, Eros von Wangenheim, Aldo Federal University of Santa Catarina Brazil Laboratory of Image Processing and Computer Graphics National Brazilian Institute for Digital Convergence Brazil Federal University of Parana Department of Informatics Brazil

ISBN: (纸本)9783319125671

This paper describes a fast image segmentation approach designed for pavement detection in a moving camera. The method is based on a graph-oriented segmentation approach where gradient information is used temporally as a system of discontinuities to control merging between adjacent regions. The method presumes that the navigable path usually is located at specific positions on the scene, and a predefined set of seed points is used to locate the region of interest. The obtained results shown the proposed approach is able to accurately detect in an inexpensive computation manner the navigable path even in non-optimum scenarios such as miss-painted or unpaved dirt roads. Validation was conducted using a dataset with 701 samples of navigable paths, presenting a very high precision for real-time applications. © Springer International Publishing Switzerland 2014.

关键词： Pavements

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Recognizing human activities based on head movement trajectories

Recognizing human activities based on head movement trajecto...

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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Kornél Bertók Attila Fazekas Department of Computer Graphics and Image Processing University of Debrecen Debrecen city Hungary

Human activity recognition from movement-related signals or image sequences is a quite challenging problem in computer vision. Human activities can be decoded from various set of communication channels but it is proved that the head has a highlighted role to emphasize the message that is being communicated. Recognizing activities from head movements can be suitable, because the head has a near constant shape and appearance during the communication. The spatiotemporal segmentation of head movements can be also done by analyzing the trajectories. In this study, we give a general model for description and recognition of head movements. The basic idea has been extended by introducing a human activity database to make better decisions during the recognition. The proposed approach takes into consideration facial regions that encode essential information about head movements. The essence of head movements is extracted from motion history image representation and aligned by dynamic time warping. The efficiency of our system is also demonstrated by the recognition of head-drawn letters.

关键词： Face Trajectory Databases Time series analysis Spatiotemporal phenomena Time measurement

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User-guided Compressed Sensing for Magnetic Resonance Angiography

User-guided Compressed Sensing for Magnetic Resonance Angiog...

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

作者： Changgong Zhang Martijn van de Giessen Elmar Eisemann Anna Vilanova Section of Computer Graphics and Visualization Delft University of Technology Division of Image Processing Department of Radiology Leiden University Medical Center

ISBN: (纸本)9781424479276

Compressed sensing (CS) magnetic resonance imaging (MRI) enables the reconstruction of MRI images with fewer samples in k-space. One requirement is that the acquired image has a sparse representation in a known transform domain. MR angiograms are already sparse in the image domain. They can be further sparsified through finite-differences. Therefore, it is a natural application for CS-MRI. However, low-contrast vessels are likely to disappear at high under-sampling ratios, since the commonly used l_1 reconstruction tends to underestimate the magnitude of the transformed sparse coefficients. These vessels, however, are likely to be clinically important for medical diagnosis. To avoid the fading of low-contrast vessels, we propose a user-guided CS MRI that is able to mitigate the reduction of vessel contrast within a region of interest (ROI). Simulations show that these low-contrast vessels can be well maintained via our method which results in higher local quality compared to conventional CS.

关键词： image reconstruction Magnetic resonance imaging Compressed sensing Minimization Angiography Transforms Fading

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QR code localization using deep neural networks

QR code localization using deep neural networks

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IEEE Workshop on Machine Learning for Signal processing

作者： Tamás Grósz Péter Bodnár László Tóth László G. Nyúl MTA-SZTE Research Group on Artificial Intelligence Hungarian Academy of Sciences and University of Szeged Department of Image Processing and Computer Graphics University of Szeged

Usage of computer-readable visual codes became common in our everyday life at industrial environments and private use. The reading process of visual codes consists of two steps, localization and data decoding. This paper introduces a new method for QR code localization using conventional and deep rectifier neural networks. The structure of the neural networks, regularization, and training parameters, like input vector properties, amount of overlapping at samples, and effect of different block sizes are evaluated and discussed. Results are compared to localization algorithms of the literature.

关键词： Training Vectors Artificial neural networks Neurons Visualization Discrete cosine transforms

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Digital measurement of myelofibrosis associated platelet derived growth factor receptor β (PDGFR β) expression in bone marrow biopsies

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Journal of Computing and Information Technology 2013年第1期21卷 47-56页

作者： Szeghalmy, Szilvia Bedekovics, Judit Méhes, Gábor Fazekas, Attila Department of Computer Graphics and Image Processing University of Debrecen Hungary Department of Pathology University of Debrecen Hungary

In daily routine the reticulin silver staining is used on bone marrow biopsy samples as a gold standard for the characterization of myelofibrosis, however this method does not provide information about the prefibrotic stage. Recently a specific immunohistochemical method was introduced which may overcome these weaknesses of reticulin staining. Activated fibroblasts responsible for stromal proliferation are highlighted by increased PDGFR ß expression, which can be presented by immunohistochemistry in bone marrow samples. Using this staining the pre-fibrotic stage can become detectable and we have information about the disease activity. During development of new staining method it is important to prove its reliability and usability. In this paper we introduce a digital image processing method to measure paranchymal damage in digitalized histological slides that can aid correct interpretation of the staining.

关键词： Biopsy

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Deletion rules for equivalent sequential and parallel reductions

Deletion rules for equivalent sequential and parallel reduct...

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18th Iberoamerican Congress on Pattern Recognition, CIARP 2013

作者： Paĺagyi, Kálḿan Department of Image Processing and Computer Graphics University of Szeged Hungary

ISBN: (纸本)9783642418211

A reduction operator transforms a binary picture only by changing some black points to white ones, which is referred to as deletion. Sequential reductions may delete just one point at a time, while parallel reductions can alter a set of points simultaneously. Two reductions are called equivalent if they produce the same result for each input picture. This work lays a bridge between the parallel and the sequential strategies. A class of deletion rules are proposed that provide 2D parallel reductions being equivalent to sequential reductions. Some new sufficient conditions for topology-preserving parallel reductions are also reported. © Springer-Verlag 2013.

关键词： Topology

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Barcode detection using local analysis, mathematical morphology, and clustering

Barcode detection using local analysis, mathematical morphol...

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作者： Bodnar, Peter Nyul, Laszlo G. Department of Image Processing and Computer Graphics University of Szeged Hungary

Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uni-form partitioning with several approaches and showed their behaviour on a set of test images. In this work, those ideas have been extended with clus-tering, contrast measuring, distance transformation and probabilistic Hough transformation. Using more than one feature for localization leads to better accuracy, which makes detectors based on simple features, a competitive solution for commercial softwares and helps to fulll the requirements of industrial applications even more.

关键词： Feature extraction

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Sufficient conditions for topology preserving additions and general operators

Sufficient conditions for topology preserving additions and ...

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IASTED International Conference on computer graphics and Imaging, CGIM 2013

作者： Kardos, Péter Palágyi, Kálmán Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary

Topology preservation is a crucial issue of digital topology. Various applications of binary image processing rest on topology preserving operators. Earlier studies in this topic mainly concerned with reductions (i.e., operators that only delete some object points from binary images), as they form the basis for thinning algorithms. However, additions (i.e., operators that never change object points) also play important role for the purpose of generating discrete Voronoi diagrams or skeletons by influence zones (SKIZ). Furthermore, the use of general operators that may both add and delete some points to and from objects in pictures are suitable for contour smoothing. Therefore, in this paper we present some new sufficient conditions for topology preserving reductions, additions, and general operators. Two additions for 2D and 3D contour smoothing are also reported.

关键词： Binary images

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A surface smoothing method for a 3D model of a medical object

A surface smoothing method for a 3D model of a medical objec...

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International Symposium on Biomedical Engineering and Medical Physics, ISBEMP 2012

作者： Kovalovs, M. Sisojevs, A. Glazs, A. Riga Technical University Department of Image Processing and Computer Graphics Meza Street 1/3 Riga Latvia

ISBN: (纸本)9783642341960

This paper describes a method to smoothen the surface of a Medical object's 3D model. This method is intended to be used on model that was obtained by a triangulation algorithm, but it also can be used on a model that was obtained by a marching cubes algorithm. The basic principle behind this algorithm is that it adjusts the position of the vertices of a 3D model relative to the neighboring vertices, thus evening the rough edges. This method was tested on the model of human head, which was acquired by computer tomography and it showed considerable visual improvement of the model. © 2013 IFMBE.

关键词： Three dimensional computer graphics

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Barcode detection with uniform partitioning and distance transformation

Barcode detection with uniform partitioning and distance tra...

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IASTED International Conference on computer graphics and Imaging, CGIM 2013

作者： Bodnár, Péter Nyúl, Lászlo G. Department of Image Processing and Computer Graphics University of Szeged Árpad tér 2 Szeged H-6720 Hungary

Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we used uniform partitioning with several approaches for detection of various types of ID and 2D barcodes and showed their behaviour on a set of test images. In this work, we extend the partitioning idea and replace scan-line based methods with distance transformation to improve accuracy.

关键词： computer vision

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