Image mining is the most promising and complex scientific direction of image analysis, dedicated to extracting knowledge and information from images, necessary for interpreting and understanding images and making intelligent decisions regarding objects, processes, events and phenomena presented in the image. Image mining is based on the methods of the mathematical theory of image analysis, the mathematical theory of pattern recognition and mathematical linguistics. Automation of image mining is one of the most important strategic goals in image analysis, recognition and understanding both in scientific and technological aspects. The main subgoals are developing and applying of mathematical theory for constructing image models and representations allowable by efficient pattern recognition algorithms and for constructing standardized representations and selection of image analysis transforms. Our analysis showed that the main directions of current fundamental and applied research in the field of image mining are the following: research of the image formalization space;development, research and application of mathematical and heuristic methods for constructing formal models and representations of images;development, research and application of mathematical and heuristic methods for constructing transformations of formal models and representations of images;study of the information nature of the image;study of the image as a new class of mathematical objects. research of the image formalization space; development, research and application of mathematical and heuristic methods for constructing formal models and representations of images; development, research and application of mathematical and heuristic methods for constructing transformations of formal models and representations of images; study of the information nature of the image; study of the image as a new class of mathematical objects. The publication presents an introductory paper to the IMTA Proceedings. The main scientific results of the 9th International Workshop “Image Mining: Theory and Applications,” held on December 1, 2024, Kolkata, India, are presented.

Image mining: current problems in theory and applications

Moroni D.;Pascali M. A.;
2025

Abstract

Image mining is the most promising and complex scientific direction of image analysis, dedicated to extracting knowledge and information from images, necessary for interpreting and understanding images and making intelligent decisions regarding objects, processes, events and phenomena presented in the image. Image mining is based on the methods of the mathematical theory of image analysis, the mathematical theory of pattern recognition and mathematical linguistics. Automation of image mining is one of the most important strategic goals in image analysis, recognition and understanding both in scientific and technological aspects. The main subgoals are developing and applying of mathematical theory for constructing image models and representations allowable by efficient pattern recognition algorithms and for constructing standardized representations and selection of image analysis transforms. Our analysis showed that the main directions of current fundamental and applied research in the field of image mining are the following: research of the image formalization space;development, research and application of mathematical and heuristic methods for constructing formal models and representations of images;development, research and application of mathematical and heuristic methods for constructing transformations of formal models and representations of images;study of the information nature of the image;study of the image as a new class of mathematical objects. research of the image formalization space; development, research and application of mathematical and heuristic methods for constructing formal models and representations of images; development, research and application of mathematical and heuristic methods for constructing transformations of formal models and representations of images; study of the information nature of the image; study of the image as a new class of mathematical objects. The publication presents an introductory paper to the IMTA Proceedings. The main scientific results of the 9th International Workshop “Image Mining: Theory and Applications,” held on December 1, 2024, Kolkata, India, are presented.
2025
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
9783031876622
9783031876639
Application problems
Artificial intelligence
Automation
Computational topology IMTA-IX-2024
Data mining
Data science
Descriptive image algebras
IAPR TC 16
ICPR-2024
Image analysis
Image analysis applications
Image formalization space
Image mining
Image models
Image representations
Knowledge engineering
Mathematical theory of image analysis
Mathematical theory of pattern recognition
Pattern recognition applications
File in questo prodotto:
File Dimensione Formato  
978-3-031-87663-9_4.pdf

solo utenti autorizzati

Descrizione: Image Mining: Current Problems in Theory and Applications
Tipologia: Versione Editoriale (PDF)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 1.96 MB
Formato Adobe PDF
1.96 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/562922
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact