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.
Betaal eenvoudig met kaart, Klarna, Apple Pay of Google Pay. Niet tevreden? Je hebt altijd 14 dagen bedenktijd. Lees meer in onze voorwaarden. Heb je vragen, mail ons dan via hello@memmo.org.
Memmo maakt studeren makkelijker – waar je ook bent ter wereld. Wij brengen je cursusboeken en slimme studietools samen op één plek: samenvattingen, quizzen, podcasts en flashcards. En Ted, je studievriend die antwoord geeft op alles wat je je afvraagt. Meer dan 50.000 studenten studeren hier al – gebouwd om je sneller te laten leren en minder stress te geven.