Systematic review of image segmentation using complex networks
A Rezaei, F Asadi - arXiv preprint arXiv:2401.02758, 2024 - arxiv.org
This review presents various image segmentation methods using complex networks. Image
segmentation is one of the important steps in image analysis as it helps analyze and …
segmentation is one of the important steps in image analysis as it helps analyze and …
A general framework for complex network-based image segmentation
With the recent advances in complex networks theory, graph-based techniques for image
segmentation has attracted great attention recently. In order to segment the image into …
segmentation has attracted great attention recently. In order to segment the image into …
Inference of hidden structures in complex physical systems by multi-scale clustering
We survey the application of a relatively new branch of statistical physics—“community
detection”—to data mining. In particular, we focus on the diagnosis of materials and …
detection”—to data mining. In particular, we focus on the diagnosis of materials and …
Superpixels algorithms through network community detection
A Perez - arXiv preprint arXiv:2308.14101, 2023 - arxiv.org
Community detection is a powerful tool from complex networks analysis that finds
applications in various research areas. Several image segmentation methods rely for …
applications in various research areas. Several image segmentation methods rely for …
An Image Segmentation Algorithm Based on Formal Concept Analysis
F Dai, J Niu - Proceedings of the 15th International Conference on …, 2023 - dl.acm.org
Image segmentation is a crucial step from image processing to image analysis, which is
extensively applied in image understanding and pattern recognition. Formal concept …
extensively applied in image understanding and pattern recognition. Formal concept …
[PDF][PDF] Image segmentation based on multiplex networks and super pixels
ISM de Oliveira, OAC Linares, AHM de Oliveira… - Comput Sci Inf …, 2019 - airccj.org
Despite the large number of techniques and applications in the field of image segmentation,
it is still an open research field. A recent trend in image segmentation is the usage of graph …
it is still an open research field. A recent trend in image segmentation is the usage of graph …
МОДЕЛИРОВАНИЕ И РАСПОЗНАВАНИЕ ДЕФЕКТОВ ТЕКСТИЛЬНЫХ СТРОП
ГК Букалов, АО Бурыгин, ИГ Панин - Физико-математическое …, 2020 - elibrary.ru
Рассматривается одна из задач моделирования дефектов текстильных строп-
применение графовых методов обнаружения сообществ, которые строятся по фото …
применение графовых методов обнаружения сообществ, которые строятся по фото …
Complex networks for image and video Analysis
Y Mourchid - 2019 - hal.science
L'analyse des données visuelles est toujours une problématique d'intérêt dans différents
domaines d'application (surveillance, automobile, sécurité, environnement, médecine,) …
domaines d'application (surveillance, automobile, sécurité, environnement, médecine,) …
大規模グラフ構造データからのコミュニティ抽出と重要度計算: 高速化への取組みと応用(< 特集> 企業におけるAI 研究の最前線)
飯田恭弘， 岸本康成， 藤原靖宏， 塩川浩昭， 鬼塚真 - 人工知能, 2014 - jstage.jst.go.jp
また, twitter などのマイクロブログにおけるメッセージのやり取り関係をグラフ構造で表現すれば,
情報の伝播, 拡散の経路や影響力の高さなどを把握できる [榎 14]. ほかにも, 企業間の取引関係を …
情報の伝播, 拡散の経路や影響力の高さなどを把握できる [榎 14]. ほかにも, 企業間の取引関係を …