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Wyniki wyszukiwania dla: stereo image processing

Wyniki wyszukiwania dla: stereo image processing

  • Marek Blok dr hab. inż.

    Osoby

    Marek Blok w 1994 roku ukończył studia na kierunku Telekomunikacja wydziału Elektroniki Politechniki Gdańskiej i uzyskał tytuł mgra inżyniera. Doktorat w zakresie telekomunikacji uzyskał w 2003 roku na Wydziale Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej. W 2017 roku uzyskał stopień naukowy dra habilitowanego w dyscyplinie telekomunikacja. Jego zainteresowania badawcze ukierunkowane są na telekomunikacyjne...

  • Physicochemical Problems of Mineral Processing

    Czasopisma

    ISSN: 1643-1049 , eISSN: 2084-4735

  • Adaptive filter for reconstruction of stereo audio signals.

    Publikacja

    - Rok 2004

    Artykuł poświęcony jest omówieniu metody rekonstrukcji zakłóconych impulsowo sygnałów stereofonicznych. W pracy zdefiniowano model sygnału stereofonicznego i przedstawiono zaprojektowany dla tego modelu filtr Kalmana. Przedstawiono modyfikacje filtru, w wyniku których algorytm dokonuje rekonstrukcji zakłóconego impulsowo sygnału w jednym kanale z wykorzystaniem dodatkowej informacji zawartej w niezakłóconych próbkach sygnału pochodzącego...

  • Smart Karyotyping Image Selection Based on Commonsense Knowledge Reasoning

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2024

    Karyotyping requires chromosome instances to be segmented and classified from the metaphase images. One of the difficulties in chromosome segmentation is that the chromosomes are randomly positioned in the image, and there is a great chance for chromosomes to be touched or overlap with others. It is always much easier for operators and automatic programs to tackle images without overlapping chromosomes than ones with largely overlapped...

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  • Image Segmentation of MRI image for Brain Tumor Detection

    Publikacja

    - Rok 2020

    this research work presents a new technique for brain tumor detection by the combination of Watershed algorithm with Fuzzy K-means and Fuzzy C-means (KIFCM) clustering. The MATLAB based proposed simulation model is used to improve the computational simplicity, noise sensitivities, and accuracy rate of segmentation, detection and extraction from MR...

  • An Overview of Image Analysis Techniques in Endoscopic Bleeding Detection

    Authors review the existing bleeding detection methods focusing their attention on the image processing techniques utilised in the algorithms. In the article, 18 methods were analysed and their functional components were identified. The authors proposed six different groups, to which algorithms’ components were assigned: colour techniques, reflecting features of pixels as individual values, texture techniques, considering spatial...

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  • On cooperative image denoising

    Publikacja

    - Rok 2011

    In this paper we suggest how several competing image denoising algorithms, differing in design parameters, or even in design principles, can be combined together to yield a better and more reliable denoising algorithm. The proposed fusion mechanism allows one to combine practically all kinds of noise reduction tools. It also allows one to account for the distribution of measurement noise, and in particular - to cope with heavy-tailed...

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  • MECHANICAL SYSTEMS AND SIGNAL PROCESSING

    Czasopisma

    ISSN: 0888-3270

  • Dependable Integration of Medical Image Recognition Components

    Computer driven medical image recognition may support medical doctors in the diagnosis process, but requires high dependability considering potential consequences of incorrect results. The paper presentsa system that improves dependability of medical image recognition by integration of results from redundant components. The components implement alternative recognition algorithms of diseases in thefield of gastrointestinal endoscopy....

  • Adam Władziński

    Osoby

    Adam Władziński, doktorant na Politechnice Gdańskiej, specjalizuje się w inżynierii biomedycznej, skupiając się na uczeniu maszynowym do przetwarzania obrazów z druku 3D układów pomiarowych i tkanek biologicznych, a także na komercyjnym zastosowaniu technologii blockchain. Posiadając wykształcenie z dziedziny elektroniki na Wydziale Elektroniki, Telekomunikacji i Informatyki (ETI), praca magisterska Adama Władzińskiego koncentrowała...

  • Investigation of optical properties of Infitec and Active Stereo stereoscopic techniques for CAVE-type virtual reality systems

    In recent years, many scientific and industrial centres in the world developed virtual reality systems or laboratories. At present, among the most advanced virtual reality systems are CAVE-type (Cave Automatic Virtual Environment) installations. Such systems usually consist of four, five, or six projection screens arranged in the form of a closed or hemi-closed space. The basic task of such systems is to ensure the effect of user...

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  • SIGNAL PROCESSING

    Czasopisma

    ISSN: 0165-1684 , eISSN: 1872-7557

  • The Courts Public image - The Desired Direction of Change

    Publikacja

    This paper proposes to scientifically explore notions of court identity, principles of shaping a court system's image, and best practices in positive court image development relating to thhe courts in Poland

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  • Image simulation and annotation for color blinded

    In this paper methods for image simulation as seen by a color blinded and a method for constructing images of perceived color difference are presented. The work is also focused on the interactive color description of an image contents. As a result, the individuals having problems with color discrimination can identify colors in an image.W artykule prezentowane są metody symulacji kolorów w obrazach postrzeganych przez osoby ze...

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  • An Ultra-Low-Energy Analog Comparator for A/D Converters in CMOS Image Sensors

    This paper proposes a new solution of an ultra-low-energy analog comparator, dedicated to slope analog-to-digital converters (ADC), particularly suited for CMOS image sensors (CISs) featuring a large number of ADCs. For massively parallel imaging arrays, this number may be as high as tens-hundreds of thousands ADCs. As each ADC includes an analog comparator, the number of these comparators in CIS is always high. Detailed analysis...

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  • Processing of Satellite Data in the Cloud

    Publikacja

    The dynamic development of digital technologies, especially those dedicated to devices generating large data streams, such as all kinds of measurement equipment (temperature and humidity sensors, cameras, radio-telescopes and satellites – Internet of Things) enables more in-depth analysis of the surrounding reality, including better understanding of various natural phenomenon, starting from atomic level reactions, through macroscopic...

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  • Digital Signal Processing

    Kursy Online
    • T. Stefański

  • Pervaporation in food processing

    Publikacja

    - Rok 2021

    This chapter is about pervaporation in food processing

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  • CHEMICAL ENGINEERING AND PROCESSING

    Czasopisma

    ISSN: 0255-2701 , eISSN: 1873-3204

  • The parallel environment for endoscopic image analysis

    Publikacja

    - Rok 2002

    The jPVM-oriented environment to support high performance computing required for the Endoscopy Recommender System (ERS) is defined. SPMD model of image matching is considered and its two implementations are proposed: Lexicographical Searching Algorithm (LSA) and Gradient Serching Algorithm (GSA). Three classes of experiments are considered and the relative degree of similarity and execution time of each algorithm are analysed....

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  • An Objective Focussing Measure for Acoustically Obtained Image

    Publikacja

    In scientific literature many parameters of an image sharpness can be defined, that can be used for the evaluation of display energy concentration (EC). This paper proposes a new, simple approach to EC quantitative evaluation in spectrograms, which are used for the analysis and visualization of sonar signals. The presented approach of the global-image EC measure was developed to the evaluation of EC in arbitrary direction (or at...

  • A PROPOSAL FOR ONE-IMAGE PHOTOGRAMMETRY SYSTEM FOR MEASURING THE CLEARANCE DISTANCE. CASE STUDY

    Publikacja

    Measurement of the clearance distance (both in the context of the rail and road) is one of the current and increasingly discussed topics in the context of photogrammetric and image processing (computer vision) methods. The article presents a description of a simple and rapid method of measure the clearance distance between the obstacles by using one-image photogrammetry. The proposed method was tested for the railway, tram and...

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  • Driving the Image of an Electricity Supplier through Marketing Activities

    Publikacja

    - Forum Scientiae Oeconomia - Rok 2023

    The aim of this study is to determine how marketing actions undertaken within the marketing mix by electricity providers influence their image. Referring to the Stimulus-Organism-Response (SOR) theory, research hypotheses were formulated, and a regression model was constructed, assuming positive impacts of selected marketing actions of electricity providers on their image. A quantitative approach was employed to test the research...

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  • Reconstruction of 3D image of corona discharge streamer

    Publikacja
    • M. Kocik
    • M. Tański
    • J. Mizeraczyk
    • R. Ichiki
    • S. Kanazawa
    • J. Dembski

    - Rok 2010

    In this paper, the method of reconstruction of the 3D structure of streamers in DC positive corona discharge in nozzle-to-plate electrode configuration is presented. For reconstructing of 3D image of corona discharge streamer we propose a stereographical method, where streamers are observed from several directions simultaneously. The multi-directional observation enabled to obtain fine positional coordinates of streamers for a...

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  • IEEE TRANSACTIONS ON SIGNAL PROCESSING

    Czasopisma

    ISSN: 1053-587X , eISSN: 1941-0476

  • Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends

    Publikacja

    - Information Fusion - Rok 2022

    Semantic-based segmentation (Semseg) methods play an essential part in medical imaging analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is classified into an instance, where each class is corresponded by an instance. In particular, the semantic segmentation can be used by many medical experts in the domain of radiology, ophthalmologists, dermatologist, and image-guided radiotherapy. The authors...

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  • Color Processing for Color-Blind Individuals Using Smart Glasses

    In this paper we investigated image processing methods for color-blind individuals. In particular we experimentally verified color naming procedure, generation of maps with color perception differences for average observers and for dichromats, and two color transformation methods. In experiments 7 mobile devices were used: 3 smart glasses and 4 smartphones. User studies were performed with 38 average observers and 9 dichromats....

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  • CNN Architectures for Human Pose Estimation from a Very Low Resolution Depth Image

    Publikacja

    - Rok 2018

    The paper is dedicated to proposing and evaluating a number of convolutional neural network architectures for calculating a multiple regression on 3D coordinates of human body joints tracked in a single low resolution depth image. The main challenge was to obtain a high precision in case of a noisy and coarse scan of the body, as observed by a depth sensor from a large distance. The regression network was expected to reason about...

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  • MSIS sonar image segmentation method based on underwater viewshed analysis and high-density seabed model

    Publikacja

    - Rok 2017

    High resolution images of Mechanically Scanned Imaging Sonars can bring detailed representation of underwater area if favorable conditions for acoustic signal to propagate are provided. However to properly asses underwater situation based solely on such data can be challenging for less than proficient interpreter. In this paper we propose a method to enhance interpretative potential of MSIS image by dividing it in to subareas depending...

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  • Normalization of face illumination using basic knowledge and information extracted from a single image

    Publikacja

    This paper presents a method for face image normalization that can be applied to the extraction of illumination invariant facial features or used to remove bad lighting effects and produce high-quality, photorealistic results. Most of the existing approaches concentrate on separating the constant albedo from the variable light intensity; that concept, however, is based on the Lambertian model, which fails in the presence of specularities...

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  • Data augmentation for improving deep learning in image classification problem

    Publikacja

    These days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are currently the main tool used for the image analysis and classification purposes. Although great achievements and perspectives, deep neural networks and accompanying learning algorithms have some relevant challenges to tackle. In this...

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  • Medical Image Dataset Annotation Service (MIDAS)

    Publikacja

    - Rok 2020

    MIDAS (Medical Image Dataset Annotation Service) is a custom-tailored tool for creating and managing datasets either for deep learning, as well as machine learning or any form of statistical research. The aim of the project is to provide one-fit-all platform for creating medical image datasets that could easily blend in hospital's workflow. In our work, we focus on the importance of medical data anonimization, discussing the...

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  • Efficient signal processing in spectroscopic optical coherence tomography

    Spectroscopic optical coherence tomography (SOCT) is an extension of a standard OCT technique, which allows to obtain depth-resolved, spectroscopic information on the examined sample. It can be used as a source of additional contrast in OCT images e.g. by encoding certain features of the light spectrum into the hue of the image pixels. However, SOCT require computation of time-frequency distributions of each OCT A-scan, what is...

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  • Spatial data processing technologies

    Kursy Online
    • M. Kulawiak
    • Z. Łubniewski
    • E. Lubecka

  • Analog CMOS processor for early vision processing with highly reduced power consumption

    Publikacja

    A new approach to an analog ultra-low power visionchip design is presented. The prototype chip performs low-levelconvolutional image processing algorithms in real time. Thecircuit is implemented in 0.35 μm CMOS technology, contains64 x 64 SIMD matrix with embedded analogue processors APE(Analogue Processing Element). The photo-sensitive-matrix is of2.2 μm x 2.2 μm size, giving the density of 877 processors permm2. The matrix dissipates...

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  • The use of liquid crystal thermography TLC and particle image velocimetry PIV in selected technical applications

    Nowadays, the energy cost is very high and this problem is carried out to seek techniques for improvement of the aerothermal and thermal (heat flow) systems performances in different technical applications. The transient and steady-state techniques with liquid crystals for the surface temperature and heat transfer coefficient or Nusselt number distribution measurements have been developed. The flow pattern produced by transverse...

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  • Extraction of stable foreground image regions for unattended luggage detection

    A novel approach to detection of stationary objects in the video stream is presented. Stationary objects are these separated from the static background, but remaining motionless for a prolonged time. Extraction of stationary objects from images is useful in automatic detection of unattended luggage. The proposed algorithm is based on detection of image regions containing foreground image pixels having stable values in time and...

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  • Image as a key factor of brand value at social media

    Publikacja

    - Logistyka - Rok 2015

    The paper aims to investigate the relationship between social media presence and activities and brand value for the most valuable Global Brands 2012 (Interbrandt 2013). Social media communication is an innovative way of communication. Brand value is a key performance indicator of brand strategy for managers. Brand and category image realized to be the key factor of investigated relation.

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  • ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization

    Renal tumor malignancy classification is one of the crucial tasks in urology, being a primary factor included in the decision of whether to perform kidney removal surgery (nephrectomy) or not. Currently, tumor malignancy prediction is determined by the radiological diagnosis based on computed tomography (CT) images. However, it is estimated that up to 16% of nephrectomies could have been avoided because the tumor that had been...

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  • Innovation and new technologies in mineral processing

    Wydarzenia

    23-06-2021 11:00 - 23-06-2021 12:15

    Zapraszamy Państwa na webinarium nt. innowacji i nowych technologii w przetwórstwie surowców mineralnych z dyrektorem globalnym firmy FLSmidth Flotation. Obowiązuje rejestracja.

  • Radar and Sonar Imaging and Processing

    Publikacja

    - Remote Sensing - Rok 2020

    The 21 papers (from 61 submitted) published in the Special Issue “Radar and Sonar Imaging Processing” highlighted a variety of topics related to remote sensing with radar and sonar sensors. The sequence of articles included in the SI dealt with a broad profile of aspects of the use of radar and sonar images in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used.

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  • Image Classification Based on Video Segments

    Publikacja

    - Rok 2018

    In the dissertation a new method for improving the quality of classifications of images in video streams has been proposed and analyzed. In multiple fields concerning such a classification, the proposed algorithms focus on the analysis of single frames. This class of algorithms has been named OFA (One Frame Analyzed).In the dissertation, small segments of the video are considered and each image is analyzed in the context of its...

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  • BODY IMAGE

    Czasopisma

    ISSN: 1740-1445 , eISSN: 1873-6807

  • Word & Image

    Czasopisma

    ISSN: 0266-6286 , eISSN: 1943-2178

  • Image (&) Narrative

    Czasopisma

    ISSN: 1780-678X

  • Moving Image

    Czasopisma

    ISSN: 1532-3978 , eISSN: 1542-4235

  • Light-Powered Starter for Micro-Power Boost DC–DC Converter for CMOS Image Sensors

    The design of a starter for a low-voltage, micro-power boost DC–DC converter intended for powering CMOS image sensors is presented. A unique feature of the starter is extremely low current, below 1 nA, supplying its control circuit. Therefore, a high-voltage (1.3 V) configuration of series-connected photovoltaic diodes available in a standard CMOS process or a small external LED working in photovoltaic mode can be used as an auxiliary...

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  • Implementation of DIFAR Processing in ASW Dipping Sonar

    Publikacja

    - Rok 2017

    This paper presents the implementation of the signal processing algorithm used by buoy DIFAR (Directional Frequency Analysis and Recording), that is fully operational on Polish Navy anti-submarine warfare (ASW) helicopters and ships, applied to dipping sonars for detection and tracking of submarines. The development of the DSP algorithms was a part of the modernization of sonars conducted at the Gdansk University of Technology....

  • The effect of processing on the safety and nutritional value

    Publikacja

    - Rok 2017

    Agricultural crops as well as animal food raw materials are usually somehow processed before being used by humans. Processing should make them more useful, increase their safety and nutritional value, extend the shelf life, and modify the sensory properties. However, changes and interactions of various compounds in the conditions of processing may generate products toxic or otherwise unsafe for the human organism. The food industry...

  • Analysing and processing of geotagged social media

    The use of location based data analysing tools is an important part of geomarketing strategies among entrepreneurs. One of the key elements of interest is social media data shared by the users. This data is analysed both for its content and its location information, the results help to identify trends represented in the researched regions. In order to verify the possibilities of analysing and processing of geotagged social media...