Texture Feature Extraction Techniques for Image Recognition / / by Jyotismita Chaki, Nilanjan Dey
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| Autore: |
Chaki Jyotismita
|
| Titolo: |
Texture Feature Extraction Techniques for Image Recognition / / by Jyotismita Chaki, Nilanjan Dey
|
| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (xiv, 100 pages) : illustrations |
| Disciplina: | 621.367 |
| Soggetto topico: | Computational intelligence |
| Signal processing | |
| Image processing | |
| Speech processing systems | |
| Optical data processing | |
| Computational Intelligence | |
| Signal, Image and Speech Processing | |
| Image Processing and Computer Vision | |
| Persona (resp. second.): | DeyNilanjan |
| Nota di contenuto: | Introduction -- Statistical Texture Features -- Structural Texture Features -- Signal Processed Texture Features -- Model Based Texture Features -- Applications of Texture Features. |
| Sommario/riassunto: | The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas. |
| Titolo autorizzato: | Texture Feature Extraction Techniques for Image Recognition |
| ISBN: | 981-15-0853-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910484628903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Computational Intelligence, . 2625-3704