Metaheuristic algorithms for image segmentation : theory and applications /: theory and applications. (2019)

• Record Type: Book
• Further Information: Note: Diego Oliva, Mohamed Abd Elaziz, Salvador Hinojosa.
• Authors: Oliva, Diego; Abd Elaziz, Mohamed; Hinojosa, Salvador
• Contents: Introduction.- Optimization.- Metaheuristic optimization.- Image processing.- Image Segmentation using metaheuristics.- Multilevel thresholding for image segmentation based on metaheuristic Algorithms.- Otsu's between class variance and the tree seed algorithm.- Image segmentation using Kapur's entropy and a hybrid optimization algorithm.- Tsallis entropy for image thresholding.- Image segmentation with minimum cross entropy.- Fuzzy entropy approaches for image segmentation.- Image segmentation by gaussian mixture.- Image segmentation as a multiobjective optimization problem.- Clustering algorithms for image segmentation.- Contextual information in image thresholding.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource (xv, 226 pages), illustrations (some color)
• Subjects: 006.6; Image segmentation; Evolutionary computation; Electronic books
• Languages: English
• ISBNs: 9783030129316; 3030129314
• Related ISBNs: 9783030129309
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed March 12, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.