Cargando…

Advances in Low-Level Color Image Processing

Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Celebi, M. Emre (Editor ), Smolka, Bogdan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Lecture Notes in Computational Vision and Biomechanics, 11
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-94-007-7584-8
003 DE-He213
005 20220117073312.0
007 cr nn 008mamaa
008 131216s2014 ne | s |||| 0|eng d
020 |a 9789400775848  |9 978-94-007-7584-8 
024 7 |a 10.1007/978-94-007-7584-8  |2 doi 
050 4 |a TA1634 
072 7 |a UYQV  |2 bicssc 
072 7 |a COM012000  |2 bisacsh 
072 7 |a UYQV  |2 thema 
082 0 4 |a 006.37  |2 23 
245 1 0 |a Advances in Low-Level Color Image Processing  |h [electronic resource] /  |c edited by M. Emre Celebi, Bogdan Smolka. 
250 |a 1st ed. 2014. 
264 1 |a Dordrecht :  |b Springer Netherlands :  |b Imprint: Springer,  |c 2014. 
300 |a X, 425 p. 176 illus., 148 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Computational Vision and Biomechanics,  |x 2212-9413 ;  |v 11 
505 0 |a Preface -- 1 Automated Color Misalignment Correction for Close-Range and Long-Range Hyper-Resolution Multi-Line CCD Images, by Zhiyu Chen, Andreas Koschan, Chung-Hao Chen, and Mongi Abidi -- 2 Adaptive Demosaicing Algorithm Using Characteristics of the Color Filter Array Pattern, by Ji Won Lee and Rae-Hong Park -- 3 A Taxonomy of Color Constancy and Invariance Algorithm, by Dohyoung Lee and Konstantinos N. Plataniotis -- 4 On the von Kries Model: Estimate, Dependence on Light and Device, and Applications, by Michela Lecca -- 5 Impulse and mixed multi-channel denoising using statistical halfspace depth functions, by Djordje Baljozović, Aleksandra Baljozović, Branko Kovačević -- 6 Spatially Adaptive Color Image Processing, by Johan Debayle and Jean-Charles Pinoli -- 7 Vector ordering and multispectral morphological image processing, by Santiago Velasco-Forero and Jesus Angulo -- 8 Morphological Template Matching in Color Images, by Sébastien Lefèvre, Erhan Aptoula, Benjamin Perret, and Jonathan Weber -- 9 Tensor Voting for Robust Color Edge Detection, by Rodrigo Moreno, Miguel Angel Garcia, and Domenec Puig -- 10 Color Categorization Models for Color Image Segmentation, by Teresa Alarcon, Oscar Dalmau -- 11 Skin region detection and segmentation in color images, by Michal Kawulok, Jakub Nalepa and Jolanta Kawulok -- 12 Contribution of skin color cue in face detection applications, by Dohyoung Lee, Jeaff Wang, and Konstantinos N. Plataniotis -- 13 Color Saliency Evaluation for Video Game Design, by Richard M. Jiang, Ahmed Bouridane, and Abbes Amira. 
520 |a Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, to which the large number of publications of the past two decades bears witness. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel  ones. The goal of this volume is to summarize the state-of-the-art in the early stages of the color image processing pipeline. 
650 0 |a Computer vision. 
650 0 |a Signal processing. 
650 0 |a Radiology. 
650 1 4 |a Computer Vision. 
650 2 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Radiology. 
700 1 |a Celebi, M. Emre.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Smolka, Bogdan.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9789400775855 
776 0 8 |i Printed edition:  |z 9789400775831 
776 0 8 |i Printed edition:  |z 9789402400885 
830 0 |a Lecture Notes in Computational Vision and Biomechanics,  |x 2212-9413 ;  |v 11 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-94-007-7584-8  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)