Buch, Englisch, 118 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 177 g
Buch, Englisch, 118 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 177 g
Reihe: Intelligent Signal Processing and Data Analysis
ISBN: 978-0-367-50317-8
Verlag: Taylor & Francis Ltd (Sales)
A Beginner’s Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement.
- Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images)
- Presents a detailed evaluation in real-time application, including the need for heuristic algorithm, the choice of objective and threshold function, and the evaluation of the outcome
- Describes how the image thresholding acts as a pre-processing technique and how the region of interest in a medical image is enhanced with thresholding
- Illustrates integration of the thresholding technique with bio-inspired algorithms
- Includes current findings and future directions of image multi-level thresholding and its practical implementation
- Emphasizes the need for multi-level thresholding with suitable examples
The book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.
Zielgruppe
Academic
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung
- Mathematik | Informatik EDV | Informatik Technische Informatik
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
Weitere Infos & Material
1. Introduction 2. Thresholding Approaches 3. Grayscale and RGB-scale Image Examination 4. Heuristic Algorithm Assisted Thresholding 5. Objective Function and Image Quality Measures 6. Assessment of Images with Constraints 7. Thresholding of Benchmark Images 8. Thresholding of Biomedical Images 9. Thresholding of Plant-Weed images 10. Conclusion
