A discriminant analysis based recursive automatic thresholding approach for image segmentation
- Author
- WU, Bing-Fei1 ; CHEN, Yen-Lin1 ; CHIU, Chung-Cheng2
[1] Department of Electrical and Control Engineering, National Chiao Tung University, Hsinchu 30050, Taiwan, Province of China
[2] Department of Electrical Engineering, Chung Cheng Institute of Technology, Taoyuan 335, Taiwan, Province of China - Source
IEICE transactions on information and systems. 2005, Vol 88, Num 7, pp 1716-1723, 8 p ; ref : 13 ref
- ISSN
- 0916-8532
- Scientific domain
- Electronics; Computer science; Telecommunications
- Publisher
- Oxford University Press, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- automatic thresholding combination discriminant analysis image segmentation multilevel thresholding
- Keyword (fr)
- Analyse discriminante Détection seuil Evaluation performance Méthode récursive Segmentation image Traitement image
- Keyword (en)
- Discriminant analysis Threshold detection Performance evaluation Recursive method Image segmentation Image processing
- Keyword (es)
- Análisis discriminante Detección umbral Evaluación prestación Método recursivo 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
- 16958539
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
10.1093/ietisy/e88-d.7.1716 
https://dx.doi.org/10.1093/ietisy/e88-d.7.1716
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