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Search results for: CMOS IMAGER
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Classification of Sea Going Vessels Properties Using SAR Satellite Images
PublicationThe aim of the project was to analyze the possibility of using machine learning and computer vision to identify (indicate the location) of all sea-going vessels located in the selected area of the open sea and to classify the main attributes of the vessel. The key elements of the project were to download data from the Sentinel-1 satellite [1], download data on the sea vessels [2], then automatically tag data and develop a detection...
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Optimized Deep Learning Model for Flood Detection Using Satellite Images
PublicationThe increasing amount of rain produces a number of issues in Kerala, particularly in urban regions where the drainage system is frequently unable to handle a significant amount of water in such a short duration. Meanwhile, standard flood detection results are inaccurate for complex phenomena and cannot handle enormous quantities of data. In order to overcome those drawbacks and enhance the outcomes of conventional flood detection...
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Detection of moving objects in images combined from video and thermal cameras
PublicationAn algorithm for detection of moving objects in video streams from the monitoring cameras is presented. A system composed of a standard video camera and a thermal camera, mounted in close proximity to each other, is used for object detection. First, a background subtraction is performed in both video streams separately, using the popular Gaussian Mixture Models method. For the next processing stage, the authors propose an algorithm...
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Face with Mask Detection in Thermal Images Using Deep Neural Networks
PublicationAs the interest in facial detection grows, especially during a pandemic, solutions are sought that will be effective and bring more benefits. This is the case with the use of thermal imaging, which is resistant to environmental factors and makes it possible, for example, to determine the temperature based on the detected face, which brings new perspectives and opportunities to use such an approach for health control purposes. The...
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Bees Detection on Images: Study of Different Color Models for Neural Networks
PublicationThis paper presents an approach to bee detection in video streams using a neural network classifier. We describe the motivation for our research and the methodology of data acquisition. The main contribution to this work is a comparison of different color models used as an input format for a feedforward convolutional architecture applied to bee detection. The detection process has is based on a neural binary classifier that classifies...
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Real-time facial feature tracking in poor quality thermal imagery
PublicationRecently, facial feature tracking systems have become more and more popular because of many possible use cases. Especially in medical applications location of the face and facial features are very useful. Many researches have presented methods to detect and track facial features in visible light. However, facial feature analysis in thermography may also be very advantageous. Some examples of using infrared imagery in medicine include...
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Layered background modeling for automatic detection of unattended objects in camera images
PublicationAn algorithm for automatic detection of unattended objects in video camera images is presented. First, background subtraction is performed, using an approach based on the codebook method. Results of the detection are then processed by assigning the background pixels to time slots, based on the codeword age. Using this data, moving objects detected during a chosen period may be extracted from the background model. The proposed approach...
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Exploring the influence of personal factors on physiological responses to mental imagery in sport
PublicationImagery is a well-known technique in mental training which improves performance efficiency and influences physiological arousal. One of the biomarkers indicating the amount of physiological arousal is skin conductance level (SCL). The aim of our study is to understand how individual differences in personality (e.g. neuroticism), general imagery and situational sport anxiety are linked to arousal measuring with SCL in situational...
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Respiratory Rate Estimation Based on Detected Mask Area in Thermal Images
PublicationThe popularity of non-contact methods of measuring vital signs, particularly respiratory rate, has increased during the SARS-COV-2 pandemic. Breathing parameters can be estimated by analysis of temperature changes observed in thermal images of nostrils or mouth regions. However, wearing virus-protection face masks prevents direct detection of such face regions. In this work, we propose to use an automatic mask detection approach...
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Właściwości nie-quasi-statycznego modelu tranzystora wewnętrznego MOS
PublicationPrzedstawiono założenia i właściwości oryginalnego nie-quasi-statycznego modelu małosygnałowego tranzystora wewnętrznego MOS oraz dokonano przeglądu i podziału znanych w literaturze przedmiotu małosygnałowych modeli tranzystora polowego.
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Alignment of the CMS silicon tracker during commissioning with cosmic rays
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Commissioning and performance of the CMS pixel tracker with cosmic ray muons
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Dwuwymiarowy obraz zjawisk w tranzystorze MOS - badania numeryczne
PublicationZaprezentowano wyniki badań numerycznych, z których wynika, że w tranzystorze MOS występuje zjawisko łagodnego odrywania się kanału i zjawisko powiększania grubości kanału. Obydwa zjawiska można uwzględnić w quasi-dwuwymiarowym modelowaniu pracy tranzystora polowego, dzięki czemu można opracowywać dokładniejsze modele analityczne takiego przyrządu półprzewodnikowego.
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Nowy dwudrenowy tranzystor MOS jako czujnik pola magnetycznego.
PublicationW artykule zaprezentowano nową koncepcję tranzystora typu MOS z dwoma poziomo usytuowanymi drenami, który może być wykorzystany jako czujnik pola magnetycznego. Zasada działania nowego czujnika oparta jest na jednym ze zjawisk galwanomagnetycznych.
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Jednosekwencyjny statyczny model prądowo-napięciowo-temperaturowy tranzystora MOS.
PublicationZaprezentowano i zweryfikowano eksperymentalnie nowy jednosekcyjny statyczny model pradowo-napięciowo-temperaturowy tranzystora MOS. Nowy model jest spójny fizycznie i zawiera dużo mniej parametrów niż powszechnie znane modele.
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Rozkład gęstości ruchomego ładunku wzdłuż kanału tranzystora MOS
PublicationPrzedyskutowano i dokonano analizy ilościowej rozkładu gęstości ruchomego ładunku wzdłuż kanału tranzystora MOS - jednej z podstawowych wielkości definiujących prąd kanału (drenu). Zwrócono uwagę na konsekwencje jakie implikuje stosowanie przybliżenia łagodnego kanału w modelowaniu stałoprądowych charakterystyk tranzystora polowego. Zaprezentowano wyniki analizy dwuwymiarowej określającej w formie analitycznej wielkość ładunku...
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Recognition of two-phase flow patterns with the use of dynamic image analysis
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Two-phase flow structure assessment based on dynamic image analysis
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MSIS Image Postioning in Port Areas with the Aid of Comparative Navigation Methods
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Image registration of BANG® gel dose maps for quantitative dosimetry verification
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Quantification of Asphalt Mixture Interlocking Utilizing 2D and 3D Image Processing
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Image-based Analysis of Emotional Facial Expressions in Full Face Transplants
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Image based analysis of emotional expression development in facial transplant patient
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PERFORMANCE OF ENDOSCOPIC IMAGE ANALYSIS ALGORITHMS IN LARGE BOWEL VIDEOS PROCESSING
PublicationComputer-assisted endoscopy is a rapidly developing eld of study. Many image anal- ysis algorithms exist, achieving very high rates of eciency at processing single endoscopic images. However, most of them were never tested in processing real-life endoscopic videos. In the article such tests of 16 endoscopy image analysis algorithms are presented and dis- cussed. Tests were performed on two real-life endoscopic videos of a human...
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An Approach to the Detection of Bank Robbery Acts Employing Thermal Image Analysis
PublicationA novel approach to the detection of selected security-related events in bank monitoring systems is presented. Thermal camera images are used for the detection of people in difficult lighting conditions. Next, the algorithm analyses movement of objects detected in thermal or standard monitoring cameras using a method evolved from the motion history images algorithm. At the same time, thermal images are analyzed in order to detect...
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Image normalization method for face identification under difficult lighting conditions
PublicationW pracy przedstawiono nową metodę normalizacji obrazu, opartą o proste techniki, takie jak binaryzacja czy wyrównywanie histogramu, która pozwala na skuteczne wyeliminowanie cieni oraz uzyskanie niezmienników znacznie poprawiających dokładność procesu rozpoznawania twarzy. Podczas wykonanych eksperymentów zaproponowana metoda uzyskała wyniki lepsze od referencyjnego algorytmu wykorzystującego anizotropowe wygładzanie.
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Towards Efficient Parallel Image Processing on Cluster Grids Using GIMP.
PublicationZe względu na fakt, iż niewielu użytkowników posiada wiedzę niezbędną do wykorzystania niskopoziomowych bibliotek programowania równoległego w celu przyspieszenia działania programów operujących na obrazach, proponujemy plugin do znanej aplikacji GIMP, który umożliwia potokowe wykonanie szeregu filtrów na obrazach załadowanych przez plugin. Prezentujemy szczegóły implementacyjne, scenariusze testowe i wyniki na klastrach, potencjalnie...
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An image processing approach for fatigue crack identification in cellulose acetate replicas
PublicationThe cellulose acetate replication technique is an important method for studying material fatigue. However, extracting accurate information from pictures of cellulose replicas poses challenges because of distortions and numerous artifacts. This paper presents an image processing procedure for effective fatigue crack identification in plastic replicas. The approach employs thresholding, adaptive Gaussian thresholding, and Otsu binarization...
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Deep learning based thermal image segmentation for laboratory animals tracking
PublicationAutomated systems for behaviour classification of laboratory animals are an attractive alternative to manual scoring. However, the proper animals separation and tracking, especially when they are in close contact, is the bottleneck of the behaviour analysis systems. In this paper, we propose a method for the segmentation of thermal images of laboratory rats that are in close contact during social behaviour tests. For this, we are...
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Evaluation of a company’s image on social media using the Net Sentiment Rate
PublicationVast amounts of new types of data are constantly being created as a result of dynamic digitization in all areas of our lives. One of the most important and valuable categories for business is data from social networks such as Facebook. Feedback resulting from the sharing of thoughts and emotions, expressed in comments on various products and services, is becoming the key factor on which modern business is based. This feedback is...
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Photogrammetry image-based approach for imperfect structure modelling and FE analysis
PublicationThis study aims to model and analyse imperfect tructures using real measurements, employing photogrammetry technique commonly used in the geodesy. The study highlights the capability of the photogrammetry in aiding the structural analysis of imperfect engineering objects. Firstly, the photogrammetry measurements of a stiffened plate are carried out using a specially designed for the purpose experimental stand. Then, the plate surface...
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Deep Learning: A Case Study for Image Recognition Using Transfer Learning
PublicationDeep learning (DL) is a rising star of machine learning (ML) and artificial intelligence (AI) domains. Until 2006, many researchers had attempted to build deep neural networks (DNN), but most of them failed. In 2006, it was proven that deep neural networks are one of the most crucial inventions for the 21st century. Nowadays, DNN are being used as a key technology for many different domains: self-driven vehicles, smart cities,...
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ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization
PublicationRenal 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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IMAGE CORRELATION AS A TOLL FOR TRACKING FACIAL CHANGES CAUSING BY EXTERNAL STIMULI
PublicationExpressions of the human face bring a lot of information, which are a valuable source in the areas of computer vision, remote sensing and affective computing. For years, by analyzing the movement of the skin and facial muscles scientists are trying to create the perfect tool, based on image analysis, allowing the recognition of emotional states of human beings. To create a reliable algorithm, it is necessary to explore and examine...
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Selected Technical Issues of Deep Neural Networks for Image Classification Purposes
PublicationIn recent years, deep learning and especially Deep Neural Networks (DNN) have obtained amazing performance on a variety of problems, in particular in classification or pattern recognition. Among many kinds of DNNs, the Convolutional Neural Networks (CNN) are most commonly used. However, due to their complexity, there are many problems related but not limited to optimizing network parameters, avoiding overfitting and ensuring good...
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Analysis of the parameters of respiration patterns extracted from thermal image sequences
PublicationRemote estimation of vital signs is an important and active area of research. The goal of this work was to analyze the feasibility of estimating respiration parameters from video sequences of faces recorded using a mobile thermal camera. Different estimators were analyzed and experimentally verified. It was demonstrated that the respiration rate, periodicity of respiration, and presence and length of apnea periods could be reliably...
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Application of Web-GIS and Cloud Computing to Automatic Satellite Image Correction
PublicationRadiometric calibration of satellite imagery requires coupling of atmospheric and topographic parameters, which constitutes serious computational problems in particular in complex geographical terrain. Successful application of topographic normalization algorithms for calibration purposes requires integration of several types of high-resolution geographic datasets and their processing in a common context. This paper presents the...
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Deformation measurements in granular bodies using a particle image velocimetry technique
PublicationW artykule przedstawiono wyniki pomiarów tensora odkształceń w materiałach granulowanych podczas przepływu silosowego i wyciągania ścianki z gruntu. Pomiary wykonano przy zastosowaniu techniki obrazu cyfrowego PIV wykorzystującego technikę korelacji.
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Study on the Coastline Evolution in Sopot (2008–2018) Based on Landsat Satellite Imagery
PublicationThe coastline is the boundary between the water surface in a reservoir or watercourse and the land, which is characterised by high instability and functional diversity. For these reasons, research on coastal monitoring has been conducted for several decades. Currently, satellite images performed with synthetic aperture radars (SARs) are used to determine its course and variability together with high-resolution multispectral imagery...
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The (de)biasing Effect of GAN-Based Augmentation Methods on Skin Lesion Images
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Segmentation-Based BI-RADS Ensemble Classification of Breast Tumours in Ultrasound Images
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THE IMPACT OF EMOTIONS ON CHANGES IN THE CORRELATION COEFFICIENT BETWEEN DIGITAL IMAGES OF THE HUMAN FACE
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The operational method of filling information gaps in satellite imagery using numerical models
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Towards bees detection on images: study of different color models for neural networks
PublicationThis paper presents an approach to bee detection in videostreams using a neural network classifier. We describe the motivationfor our research and the methodology of data acquisition. The maincontribution to this work is a comparison of different color models usedas an input format for a feedforward convolutional architecture appliedto bee detection. The detection process has is based on a neural...
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DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
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Free Satellite Imagery for Monitoring Reclaimed Sulphur Mining Region Tarnobrzeg, Poland
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Reconstruction of dopant vertical position from Kelvin probe force microscope images
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Application of Landsat 8 imagery to regional-scale assessment of lake water quality
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Object-oriented approach to oil spill detection using ENVISAT ASAR images
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Can popular films instil carcinophobia? Images of cancer in popular Polish cinema
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