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Interactive Segmentation Techniques: Algorithms and Performance Evaluation

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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.

Availability
Inventory Code Barcode Call Number Location Status
1408000577EB0002682006.6 He iCentral Library (OPAC)Available
Detail Information
Series Title
SpringerBriefs in Electrical and Computer Engineering
Call Number
006.6 He i
Publisher
Singapore : Springer Singapore.,
Collation
x, 76p.: Ill.
Language
English
ISBN/ISSN
978-981-4451-60-4
Classification
006.6
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Image processing--Digital techniques
Specific Detail Info
-
Statement of Responsibility
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No other version available

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