Color image segmentation guided by a color gradient network
- Author
- WANGENHEIM, Aldo V1 ; BERTOLDI, Rafael F1 ; ABDALA, Daniel D2 ; RICHTER, Michael M3
[1] Image Processing and Computer Graphics Lab -LAPIX, CS Department, Federal University of Santa Catarina -UFSC, Florianópolis, SC, Brazil
[2] Computer Vision and Pattern Recognition Group, University Münster, Münster, Germany
[3] CS Department, University of Calgary, Calgary, Alberta, Canada - Source
Pattern recognition letters. 2007, Vol 28, Num 13, pp 1795-1803, 9 p ; ref : 1/4 p
- CODEN
- PRLEDG
- ISSN
- 0167-8655
- Scientific domain
- Computer science; Telecommunications
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Color gradient networks Natural color scenes Region-growing segmentation
- Keyword (fr)
- Algorithme Evaluation performance Homogénéité Image couleur Scène naturelle Segmentation image Similitude Texture Traitement image
- Keyword (en)
- Algorithm Performance evaluation Homogeneity Color image Natural scenes Image segmentation Similarity Texture Image processing
- Keyword (es)
- Algoritmo Evaluación prestación Homogeneidad Imagen color Similitud Textura Procesamiento imagen
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18950914
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.patrec.2007.05.009 
https://dx.doi.org/10.1016/j.patrec.2007.05.009
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