Search Results - image processing methods

Depth from 2D Images: Development and Metrological Evaluation of System Uncertainty Applied to Agricultural Scenarios by Bernardo Lanza, Cristina Nuzzi, Simone Pasinetti

“…The acquired data was processed and filtered with a moving average window-based filter to reduce noise in the estimated apparent depths of the ArUco markers and in the estimated optical flow image speeds. …”
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Classification Prediction of Jujube Variety Based on Hyperspectral Imaging: A Comparative Study of Intelligent Optimization Algorithms by Quancheng Liu, Jun Zhou, Zhaoyi Wu, Didi Ma, Yuxuan Ma, Shuxiang Fan, Lei Yan

“…Accurate classification of jujube varieties is essential for ensuring their quality and medicinal value. Traditional methods, relying on manual detection, are inefficient and fail to meet the demands of modern production and quality control. …”
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Intraoperative ICG-Fluorescence Imaging of Lymph Nodes in Robot-Assisted Radical Cystectomy in Patients with Bladder Cancer by V. N. Pavlov, M. F. Urmantsev, M. R. Bakeev

“…Intraoperative imaging using indocyanine green now appears to be a contemporary and relevant method for intraoperative imaging of sentinel lymph nodes. …”
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Magnetic resonance imaging in cervical cancer: current opportunities of radiomics analysis and prospects for its further developmen by A. E. Solopova, J. V. Nosova, B. B. Bendzhenova

“…The complexity of clinically evaluated tumor procession in cervical cancer (CC) accounts for a need to expand knowledge on applying medical imaging technologies in oncologic diagnostics spanning from predominantly qualitative analysis to a multiparametric approach, including a quantitative assessment of study parameters.Aim: to analyze the literature data on the use of radiomics and image texture analysis in diagnostics and prediction of aggressiveness of oncogynecological diseases including СС.Materials and Methods. …”
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Classification of Arrhythmias Using a Pre-trained Deep Learning Model with Binary Images of Segmented ECG by H. Solieman, S. Sali

“…The introduction of an automated classification of arrhythmias based on deep learning could facilitate the decision-making process by saving time and labor resources.Aim. To study the performance of a modified arrhythmia classification improved by using binary images of segmented ECG signals with combinations of orthogonal and surface signals.Materials and methods. …”
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MODEL OF CHARACTER STRING IN PATTERN RECOGNITION BASED ON STRUCTURAL METHODS by V. A. Prytkov

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Body image in breast cancer survivors: Age-moderated effects of treatment-induced menopause and fertility concerns by Oshri Saar Sheffi, Shani Paluch–Shimon, Gil Goldzwieg, Shiran Klein Rotchild, Michal Braun

“…These young women should be provided with targeted information and interventions that will help them cope with treatment-related side effects and maintain positive body image as part of the recovery process.…”
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Plot-scale peanut yield estimation using a phenotyping robot and transformer-based image analysis by Zhengkun Li, Rui Xu, Nino Brown, Barry L. Tillman, Changying Li

“…To determine the number of pods within the stitched plot-scale image, a sliding window-based method was used to divide it into smaller patches to improve the accuracy of pod detection. …”
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Advancing Grapevine Disease Detection Through Airborne Imaging: A Pilot Study in Emilia-Romagna (Italy) by Virginia Strati, Matteo Albéri, Alessio Barbagli, Stefano Boncompagni, Luca Casoli, Enrico Chiarelli, Ruggero Colla, Tommaso Colonna, Nedime Irem Elek, Gabriele Galli, Fabio Gallorini, Enrico Guastaldi, Ghulam Hasnain, Nicola Lopane, Andrea Maino, Fabio Mantovani, Filippo Mantovani, Gian Lorenzo Mazzoli, Federica Migliorini, Dario Petrone, Silvio Pierini, Kassandra Giulia Cristina Raptis, Rocchina Tiso

“…Conducted over a 17 ha vineyard in the Forlì municipality in Emilia-Romagna (Italy), the aerial survey utilized a photogrammetric camera capturing centimeter-level resolution images of the whole area in 17 minutes. These images were then processed through an automated analysis leveraging RGB-based spectral indices (Green–Red Vegetation Index—GRVI, Green–Blue Vegetation Index—GBVI, and Blue–Red Vegetation Index—BRVI). …”
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High-Precision Chip Detection Using YOLO-Based Methods by Ruofei Liu, Junjiang Zhu

“…The post-processing method uses a trigger signal from rising edges to improve chip counting in video streams. …”
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ABOUT NECESSITY OF DEVELOPMENT OF ADVANCED METHODS FOR ASSESSMENT OF MATERIALS POROSITY by A. Anisovich, A. Buinitskaya

“…The necessity and possibility of porosity assessment by the method of computer planimetry are shown. Using GOST 9391 standard scales the porosity was determined by means of the «Image SP» program for processing of images. …”
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Shedding light on the unseen: how live imaging of translation could unlock new insights in developmental biology by Dufourt, Jeremy, Bellec, Maelle

“…Among the various approaches to live imaging of translation, this perspective highlights the use of antibody-based nascent peptide detection, a method that enables visualization of single-molecule translation in vivo. …”
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Generating a Set of Reference Images for Reliable Condition Monitoring of Critical Infrastructure using Mobile Robots by Sotnikov O., Tymochko O., Bondarchuk S., Dzhuma L., Rudenko V., Mandryk Ya., Surkov K., Palonyi A., Olizarenko S.

“…The novelty of the work lies in the fact that the method of process formalized description of forming a reference images set to ensure reliable monitoring of critical infrastructure facilities using flying mobile robots for various sectors of the economy, the practical application of which will ensure reliable control and their condition assessment.…”
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Remote Sensing Image Semantic Segmentation Sample Generation Using a Decoupled Latent Diffusion Framework by Yue Xu, Honghao Liu, Ruixia Yang, Zhengchao Chen

“…A novel proportion-aware loss function explicitly penalizes deviations from the desired class distribution in the generated mask. In the image generation stage, we use ControlNet to train a multi-condition image generation network that takes the synthesized mask, along with its text description, as input and produces a realistic remote sensing image. …”
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Hash-Guided Adaptive Matching and Progressive Multi-Scale Aggregation for Reference-Based Image Super-Resolution by Lin Wang, Jiaqi Zhang, Huan Kang, Haonan Su, Minghua Zhao

“…Reference-based super-resolution (RefSR) enhances the detail restoration capability of low-resolution images (LR) by utilizing the details and texture information of external reference images (Ref). …”
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Contrast of Image of an Object Observed in Smoke Conditions using Polarizing Filtering of Radiation Scattered by Smoke Particles by A. I. Kitsak

“…Prospects for developing optical accessories for firefighters to improve the observation of objects in smoke were evaluated by comparing image contrasts.The goal was achieved by experimentally simulating the process of transmitting images of a blackandwhite object with a sharp black/white transition boundary through various types of smoke aerosols using polarizing filtering of radiation scattered by smoke particles, and without filtering and evaluating image contrasts.Studies of image contrasts for different optical densities of smoke in two registration schemes were performed, when the receiving optical system is located near the illumination source of the object at a distance of ≈ 150 mm from it, and when it is located at a distance from the illumination source of the object at a distance of ≈ 800 mm.It is established that the method of forming the image of the object using polarization filtering of radiation backscattering (RBS) reduces the rate of image contrast reduction with an increase in optical smoke density compared to image registration without filtering (RBS).A significant difference in the contrasts of images recorded with filtration (RBS) and in the absence of it is observed for "light" fumes (smoldering of wood, cotton) at average optical densities of smoke.The results obtained can be used in the development of optical accessories for firefighter-rescuer to improve the conditions of observation of objects in adverse conditions of vision: smoke, vaporization, fog.…”
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Framework for Mapping Sublimation Features on Mars’ South Polar Cap Using Object-Based Image Analysis by Racine D. Cleveland, Vincent F. Chevrier, Jason A. Tullis

“…These findings provide a quantitative assessment of SCF evolution and contribute to our understanding of recent climate-driven surface changes on Mars. HiRISE images were processed using the eCognition software to detect, classify, and measure SCFs, demonstrating that OBIA is a scalable and effective tool for analyzing dynamic planetary landforms.…”
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MSDCA: A Multi-Scale Dual-Branch Network with Enhanced Cross-Attention for Hyperspectral Image Classification by Ning Jiang, Shengling Geng, Yuhui Zheng, Le Sun

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Satellite imagery pre-processing and feature extraction for the mapping of coastal ecosystems using Google Earth Engine: A workflow for practitioners by Ahmad Badruzzaman, Prawesti Wulandari, Sainal Sainal, Matthew Ashley, Susan Jobling, Melanie C. Austen, Radisti A. Praptiwi

“…Highlights of this study: • Steps detailed in this method paper will produce processed satellite images readily applicable for machine learning to classify coastal ecosystems. • The development of this adaptable workflow can benefit and empower local area managers, particularly in low-resource settings, to conduct monitoring of their area.…”
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GAN-Based Super-Resolution in Linear R-SAM Imaging for Enhanced Non-Destructive Semiconductor Measurement by Thi Thu Ha Vu, Tan Hung Vo, Trong Nhan Nguyen, Jaeyeop Choi, Le Hai Tran, Vu Hoang Minh Doan, Van Bang Nguyen, Wonjo Lee, Sudip Mondal, Junghwan Oh

“…The precise identification and non-destructive measurement of structural features and defects in semiconductor wafers are essential for ensuring process integrity and sustaining high yield in advanced manufacturing environments. …”
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