1.

Record Nr.

UNINA9910349435203321

Titolo

Image Analysis and Recognition : 15th International Conference, ICIAR 2018, Póvoa de Varzim, Portugal, June 27–29, 2018, Proceedings / / edited by Aurélio Campilho, Fakhri Karray, Bart ter Haar Romeny

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-93000-1

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XXII, 944 p. 369 illus.)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 10882

Disciplina

621.367

Soggetti

Optical data processing

Computer security

Operating systems (Computers)

Computers and civilization

Computers

Law and legislation

Image Processing and Computer Vision

Systems and Data Security

Operating Systems

Computers and Society

Legal Aspects of Computing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Enhancement, Restoration and Reconstruction -- Image Segmentation -- Detection, Classication and Recognition -- Indexing and Retrieval -- Computer Vision -- Activity Recognition -- Traffic and Surveillance -- Applications -- Biomedical Image Analysis -- Diagnosis and Screening of Ophthalmic Diseases -- Challenge on Breast Cancer Histology Images.

Sommario/riassunto

This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Image Analysis and Recognition, ICIAR 2018, held in Póvoa de Varzim, Portugal, in June 2018. The 91 full papers presented together with 15 short papers were carefully reviewed



and selected from 179 submissions. The papers are organized in the following topical sections: Enhancement, Restoration and Reconstruction, Image Segmentation, Detection, Classication and Recognition, Indexing and Retrieval, Computer Vision, Activity Recognition, Traffic and Surveillance, Applications, Biomedical Image Analysis, Diagnosis and Screening of Ophthalmic Diseases, and Challenge on Breast Cancer Histology Images.