Texture Feature Extraction Techniques for Image Recognition / / by Jyotismita Chaki, Nilanjan Dey
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Autore: |
Chaki Jyotismita
|
| Titolo: |
Texture Feature Extraction Techniques for Image Recognition / / by Jyotismita Chaki, Nilanjan Dey
|
| Pubblicazione: | Singapore : , : Springer Nature 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 | |
| Computer vision | |
| Computational Intelligence | |
| Signal, Speech and Image Processing | |
| 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, . 2625-3712