Výsledky vyhledávání - "Image processing segmentation"

Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model

Autoři: Elaheh Amini Ran Klein

Zdroj: European Radiology Experimental, Vol 9, Iss 1, Pp 1-15 (2025)

Témata: Data variability, Deep learning, Image processing (segmentation), Lung, Tomography (x-ray computed), Medical physics. Medical radiology. Nuclear medicine, R895-920

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2509-9280

Přístupová URL adresa: https://doaj.org/article/f127bedeb1b54d4588f92ad64f042481

Automatic Algorithm-Aided Segmentation of Retinal Nerve Fibers Using Fundus Photographs

Autoři: Diego Luján Villarreal

Zdroj: Journal of Imaging, Vol 11, Iss 9, p 294 (2025)

Témata: image processing segmentation, optic pathways, visual pathways, retinal nerve fiber layer, retinal nerve fiber trajectory, course of axons, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2313-433X/11/9/294; https://doaj.org/toc/2313-433X

Přístupová URL adresa: https://doaj.org/article/1be201e088494674bd702e915603235c

Additional file 1 of Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model

Autoři: Elaheh Amini Ran Klein

Témata: Artificial Intelligence and Image Processing, Data variability, Deep learning, Image processing (segmentation), Lung, Tomography (x-ray computed)

Dostupnost: https://doi.org/10.6084/m9.figshare.30059055.v1
https://figshare.com/articles/journal_contribution/Additional_file_1_of_Lung_lobe_segmentation_performance_of_open-source_MOOSE_TotalSegmentator_and_LungMask_models_compared_to_a_local_in-house_model/30059055

Intellectual processing of spatial data in the GIS of landscape-ecological monitoring

Zdroj: Bionics of Intelligence; Vol. 2 No. 95 (2020): Scientific and Technical Journal "Bionics of Intelligence"; 43-50
Бионика интеллекта; Том 2 № 95 (2020): Научно-технический журнал "Бионика интеллекта"; 43-50
Біоніка інтелекту; Том 2 № 95 (2020): Науково-технічний журнал "Біоніка інтелекту"; 43-50

Témata: ЭКОЛОГИЧЕСКИЙ МОНИТОРИНГ, НЕЙРОСЕТЕВАЯ ОБРАБОТКА ИЗОБРАЖЕНИЙ, СЕГМЕНТАЦИЯ, ГЕНЕТИЧЕСКАЯ ОПТИМИЗАЦИЯ, АВТОЭНКОДЕР, ЕКОЛОГІЧНИЙ МОНІТОРИНГ, НЕЙРОМЕРЕЖЕВА ОБРОБКА ЗОБРАЖЕНЬ, СЕГМЕНТАЦІЯ, ГЕНЕТИЧНА ОПТИМІЗАЦІЯ, АВТОЕНКОДЕР, ECOLOGICAL MONITORING, NEURAL NETWORK IMAGE PROCESSING, SEGMENTATION, GENETIC OPTIMIZATION, AUTOENCODER

Popis souboru: application/pdf

Přístupová URL adresa: http://bionics.nure.ua/article/view/228460

A Review on Lung Cancer Detection and Prediction

Autoři: P Shabin C V Aiswarya

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, CNN classifier, early detection, image processing, segmentation, prediction, lung cancer, 02 engineering and technology, 3. Good health

Přístupová URL adresa: http://hbrppublication.com/OJS/index.php/JSRT/article/view/1037
https://zenodo.org/record/3574438

A Survey on Extraction of Brain Tumor using Image Processing Techniques

Autoři: Mamatha M C Samiksha Sinha Sampadha T S a další

Témata: Filtering techniques, image processing, segmentation, tumor detection, 3. Good health

Calculating Areas of the Land Cover Types Using Multi-Temporal Images to Visualize Environmental Dynamics ; Вычисление площадей распространения типов почвенно-растительного покрова по разновременным снимкам для визуализации экологической динамики

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: Education, Science and Industry: Development and Prospects of Cooperation in the Context of Regional Technological Platforms ; https://hal.archives-ouvertes.fr/hal-02019201 ; Education, Science and Industry: Development and Prospects of Cooperation in the Context of Regional Technological Platforms, Dec 2015, Zaporozhye, Ukraine. pp.6-11, ⟨10.6084/m9.figshare.7210373⟩

Témata: Landsat 7 ETM+, Landsat Imagery, Landsat ETM+ TIR images, Landsat Thematic Mapper, Image processing and analysis, Image processing Pattern recognition, Image processing technique, Image processing methods, Image processing segmentation, Image processing application, Image processing algorithms and systems, Image processing and computer vision, Image processing – digital techniques, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.4: Reflectance, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.5: Sampling, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.1: Imaging geometry, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.1: Depth cues

Geografické téma: Zaporozhye, Ukraine

Relation: hal-02019201; https://hal.archives-ouvertes.fr/hal-02019201; https://hal.archives-ouvertes.fr/hal-02019201/document; https://hal.archives-ouvertes.fr/hal-02019201/file/Lemenkova_Zaporozhye2015.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-02019201
https://hal.archives-ouvertes.fr/hal-02019201/document
https://hal.archives-ouvertes.fr/hal-02019201/file/Lemenkova_Zaporozhye2015.pdf
https://doi.org/10.6084/m9.figshare.7210373

Mapping agricultural land by means of GIS for monitoring the use of natural resources (a case study of landscapes of South-Western Hungary)

Autoři: Lemenkova, Polina Ocean University of China (OUC) Ural State Agrarian University

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Ural State Agrarian University

Zdroj: Actual Problems of the Conservation and Development of Biological Resources ; https://hal.archives-ouvertes.fr/hal-02425724 ; Actual Problems of the Conservation and Development of Biological Resources, Ural State Agrarian University, Feb 2015, Yekaterinburg, Russia. pp.27, ⟨10.13140/RG.2.2.34031.79522⟩

Témata: Geography, Geography & Development, Geography and cartography, Geography and spaces, Image processing Digital image processing, Image processing Image recognition, Image processing Image reconstruction techniques, Image processing Pattern recognition, Image processing application, Image processing segmentation, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, [INFO]Computer Science [cs]

Geografické téma: Yekaterinburg, Russia

Relation: hal-02425724; https://hal.archives-ouvertes.fr/hal-02425724

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425724
https://doi.org/10.13140/RG.2.2.34031.79522

Plant Pathology Detection And Control Using Raspberry Pi

Autoři: T.Thamil Azhagi*1, K.Swetha1

Témata: 2. Zero hunger, Raspberry PI, Camera, Cloud, Image-processing, Segmentation, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

A METHOD FOR SEGMENTING FOOD COLOUR IMAGES

Autoři: Giorgio Peri Roberto Romaniello

Zdroj: Journal of Agricultural Engineering, Vol 39, Iss 2, Pp 53-56 (2008)

Témata: colour images, food, image processing, segmentation., Agriculture, Agriculture (General), S1-972

Popis souboru: electronic resource

Relation: http://www.agroengineering.org/index.php/jae/article/view/134; https://doaj.org/toc/1974-7071; https://doaj.org/toc/2239-6268

Přístupová URL adresa: https://doaj.org/article/9606f4af0b1e42738a31b4a456c2ac6c

An image segmentation for the measurement of microstructures in ductile cast iron

Autoři: Sparavigna, Amelia Carolina

Přispěvatelé: Sparavigna, Amelia Carolina

Témata: Side distribution, Image processing, Segmentation of images, Size of domains, Side distribution, Ductile cast iron, Image processing, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Ductile cast iron, Segmentation of images, [SPI.MAT] Engineering Sciences [physics]/Materials, Size of domains

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-01635665v1
https://hdl.handle.net/11583/2693892
https://hal.archives-ouvertes.fr/hal-01635665

Measuring the particles in fly ash by means of an image segmentation

Autoři: SPARAVIGNA, Amelia Carolina Sparavigna, Amelia Carolina

Přispěvatelé: SPARAVIGNA, Amelia Carolina Sparavigna, Amelia Carolina

Témata: Image processing, Segmentation of images, Size of domains, Fly ash, Image processing, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Fly ash, [SDE.IE] Environmental Sciences/Environmental Engineering, Segmentation of images, Size of domains, [PHYS.COND.CM-MS] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-01579285v1
https://hdl.handle.net/11583/2678735

Measuring the size of tubules in phloem and xylem of plants

Autoři: SPARAVIGNA, Amelia Carolina Sparavigna, Amelia Carolina

Přispěvatelé: SPARAVIGNA, Amelia Carolina Sparavigna, Amelia Carolina

Témata: Image processing, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Vascular plants, Image processing, Segmentation of images, Size of domains, Vascular plants, SEM microscopy, Segmentation of images, Size of domains, [SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-01578826v1
https://hal.archives-ouvertes.fr/hal-01578826v1
https://hdl.handle.net/11583/2679581

СПОСОБ ПОЛУАВТОМАТИЧЕСКОГО ОКОНТУРИВАНИЯ ЛЕВОГО ЖЕЛУДОЧКА СЕРДЦА ЧЕЛОВЕКА НА ЭХОКАРДИОГРАФИЧЕСКИХ ИЗОБРАЖЕНИЯХ

Autoři: Поршнев, С. Бобкова, А. Зюзин, В. a další

Témata: ЛЕВЫЙ ЖЕЛУДОЧЕК СЕРДЦА,ОКОНТУРИВАНИЕ,ЭХОКАРДИОГРАФИЧЕСКИЕ ИЗОБРАЖЕНИЯ (ЭХОКГ),ОБРАБОТКА ИЗОБРАЖЕНИЙ,СЕГМЕНТАЦИЯ,LEFT VENTRICLE OF HEART,CONTOURING,ECHOCARDIOGRAPHIC IMAGES (ECHOCARDIOGRAPHY),IMAGE PROCESSING,SEGMENTATION

Popis souboru: text/html

Dostupnost: http://cyberleninka.ru/article/n/sposob-poluavtomaticheskogo-okonturivaniya-levogo-zheludochka-serdtsa-cheloveka-na-ehokardiograficheskih-izobrazheniyah
http://cyberleninka.ru/article_covers/15461946.png

Vascular plaque detection from optical coherence tomography images

Autoři: Prakah, Ammu Sherif, Sherif S. University of Manitoba

Přispěvatelé: Prakah, Ammu Sherif, Sherif S. University of Manitoba

Témata: Optical Coherence Tomography, Vascular plaque, Image processing, Segmentation, Sparse

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/1993/35460

Modeli neodređenosti u obradi digitalnih slika

Models of digital image processing under uncertainty

Autoři: Delić Marija

Thesis Advisors: Ralević Nebojša, Pap Endre, Čomić Lidija, Lukić Tibor, Ćirović Nataša, Nedović Ljubo

Témata: Računarska obrada slika, segmentacija, klasifikacija, fazi skupovi, fazi rastojanja, metrike, norme, konorme, deskriptori, tekstura, lokalni binarni kodovi, Digital image processing, segmentation, classification, fuzzy sets, distancefunctions, metrics, norms, conorms, descriptors, texture, local binary patterns

Dostupnost: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija158504193661465.pdf?controlNumber=(BISIS)114273&fileName=158504193661465.pdf&id=15118&source=NDLTD&language=en
https://www.cris.uns.ac.rs/record.jsf?recordId=114273&source=NDLTD&language=en

Image segmentation as a preliminary step for character recognition in ancient printed documents

Autoři: Bedini L Tonazzini A

Zdroj: 3rd International Congress on Science and Technology for the Safeguard of Cultural Heritage in the Mediterranean Basin, Alcala de Henares, Spain, 9-14 luglio 2001
info:cnr-pdr/source/autori:Bedini L.; Tonazzini A./congresso_nome:3rd International Congress on Science and Technology for the Safeguard of Cultural Heritage in the Mediterranean Basin/congresso_luogo:Alcala de Henares, Spain/congresso_data:9-14 luglio 2001/anno:2001/pagina_da:/pagina_a:/intervallo_pagine

Témata: OCR, Image segmentation, Image restoration, [Image Processing, [Image Processing]: Restoration, [Image Processing]: Segmentation

Popis souboru: application/pdf

Přístupová URL adresa: http://www.cnr.it/prodotto/i/91453
https://publications.cnr.it/doc/91453
https://hdl.handle.net/20.500.14243/113205

Applications of the Phase-Coded Generalized Hough Transform to Feature Detection, Analysis, and Segmentation of Digital Microstructures

Autoři: Stephen R. Niezgoda Surya R. Kalidindi

Zdroj: Computers, Materials & Continua
Volume 14
Issue 2

Témata: microstructure, Hough transform, image processing, segmentation, feature detection

Popis souboru: application/pdf

Přístupová URL adresa: http://www.techscience.com/doi/10.3970/cmc.2009.014.079.html

Modeli neodređenosti u obradi digitalnih slika

Autoři: Delić, Marija Ralević, Nebojša Pap, Endre a další

Přispěvatelé: Delić, Marija Ralević, Nebojša Pap, Endre a další

Zdroj: Универзитет у Новом Саду
CRIS UNS

Témata: tekstura, fazi skupovi, konorme, conorms, Digital image processing, segmentation, classification, fuzzy sets, distancefunctions, metrics, norms, conorms, descriptors, texture, local binary patterns, segmentation, fazi rastojanja, Računarska obrada slika, klasifikacija, metrike, distancefunctions, norme, fuzzy sets, metrics, descriptors, segmentacija, classification, local binary patterns, lokalni binarni kodovi, deskriptori, Računarska obrada slika, segmentacija, klasifikacija, fazi skupovi, fazi rastojanja, metrike, norme, konorme, deskriptori, tekstura, lokalni binarni kodovi, Digital image processing, texture, norms

Přístupová URL adresa: https://nardus.mpn.gov.rs/bitstream/id/68656/IzvestajKomisije.pdf
https://www.cris.uns.ac.rs/DownloadFileServlet/IzvestajKomisije158504194992932.pdf?controlNumber=(BISIS)114273&fileName=158504194992932.pdf&id=15119&source=NaRDuS&language=sr
https://www.cris.uns.ac.rs/record.jsf?recordId=114273&source=NaRDuS&language=sr
https://nardus.mpn.gov.rs/handle/123456789/17949
https://nardus.mpn.gov.rs/bitstream/id/68654/Disertacija.pdf
https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija158504193661465.pdf?controlNumber=(BISIS)114273&fileName=158504193661465.pdf&id=15118&source=NaRDuS&language=sr
https://hdl.handle.net/21.15107/rcub_nardus_17949
https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija158504193661465.pdf?controlNumber=(BISIS)114273&fileName=158504193661465.pdf&id=15118&source=OpenAIRE&language=en
https://www.cris.uns.ac.rs/record.jsf?recordId=114273&source=OpenAIRE&language=en

Monte Carlo Markov Chain techniques for unsupervised MRF-based image denoising

Autoři: Tonazzini A. Bedini L.

Zdroj: ISTI Technical reports, pp.6–23, 2001

Témata: Gibbs prior, [Probability and Statistics] . Probabilistic algorithms (including, [Image Processing]: Segmentation . Edge and feature detection, Image denoising, Unsupervised edge-preserving image restoration, Markov Chain Monte Carlo technique, Bayesian estimation, [Image Processing]: Restoration

Přístupová URL adresa: http://www.cnr.it/prodotto/i/160494
https://publications.cnr.it/doc/160494