Interactive Segmentation Techniques

Algorithms and Performance Evaluation de

, ,

Éditeur :

Springer


Collection :

SpringerBriefs in Electrical and Computer Engineering

Paru le : 2013-08-31

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Description
This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection. A comparative analysis of these methods will be provided with quantitative and qualitative performance evaluation, which will be illustrated using natural and synthetic images. Also, extensive statistical performance comparisons will be made. Pros and cons of these interactive segmentation methods will be pointed out, and their applications will be discussed.

There have been only a few surveys on interactive segmentation techniques, and those surveys do not cover recent state-of-the art techniques. By providing comprehensive up-to-date survey on the fast developing topic and the performance evaluation, this book can help readers learn interactive segmentation techniques quickly and thoroughly.
Pages
76 pages
Collection
SpringerBriefs in Electrical and Computer Engineering
Parution
2013-08-31
Marque
Springer
EAN papier
9789814451598
EAN EPUB
9789814451604

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
4598 Ko
Prix
52,74 €