Hybrid Soft Computing for Image Segmentation

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bhattacharyya, Siddhartha (Επιμελητής έκδοσης), Dutta, Paramartha (Επιμελητής έκδοσης), De, Sourav (Επιμελητής έκδοσης), Klepac, Goran (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Computer science.; Artificial intelligence.; Computer graphics.; Computational intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computational Intelligence.; Computer Imaging, Vision, Pattern Recognition and Graphics.

This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling r...

Πίνακας περιεχομένων:

• Hybrid Soft Computing Techniques for Image Segmentation: Fundamentals and Applications
• Enhanced Rough-Fuzzy C-Means Algorithm for Image Segmentation
• Intuitionistic Fuzzy C-means Clustering Algorithm for Brain Image Segmentation
• Automatic Segmentation Approaches
• Modified Level Set Segmentation
• Fuzzy Deformable Models for 3D Segmentation of Brain Structures
• Rough Sets for Probabilistic Model Based Image Segmentation
• Segmentation of Cerebral Images. .