Image Segmentation and Mesh Generation

Ming Xu

ISBN 10: 3330325976 / ISBN 13: 9783330325975

Published by LAP LAMBERT Academic Publishing Jun 2017, 2017

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, we investigate a super-pixel based scheme that integrates both image segmentation and mesh generation into a single method, making mesh generation truly an image-incorporated approach. Our method, called image content-aware mesh generation, consists of several main steps. First, we generate a set of feature-sensitive and adaptively distributed points from 2D grayscale images or 3D volumes. Second, a Delaunay-triangulation generator (2D) or tetrahedral mesh generator (3D) is then utilized to generate a 2D triangulation or 3D tetrahedral mesh. A graph-cut method is then applied to the graph to define the boundary between two subsets of the graph, resulting in good boundary segmentations with high-quality meshes. 120 pp. Englisch.

Seller Inventory # 9783330325975

Bibliographic Details

• Title: Image Segmentation and Mesh Generation
• Publisher: LAP LAMBERT Academic Publishing Jun 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 3330325976
• ISBN 13: 9783330325975
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 197 grams

About this title

Synopsis

In this book, we investigate a super-pixel based scheme that integrates both image segmentation and mesh generation into a single method, making mesh generation truly an image-incorporated approach. Our method, called image content-aware mesh generation, consists of several main steps. First, we generate a set of feature-sensitive and adaptively distributed points from 2D grayscale images or 3D volumes. Second, a Delaunay-triangulation generator (2D) or tetrahedral mesh generator (3D) is then utilized to generate a 2D triangulation or 3D tetrahedral mesh. A graph-cut method is then applied to the graph to define the boundary between two subsets of the graph, resulting in good boundary segmentations with high-quality meshes.

About the Author

Dr. Ming Xu graduated from Fudan University and the University of Shanghai for Science and Technology. He received the Ph.D. degree in computer science from the University of Wisconsin-Milwaukee, Wisconsin, in December 2016. His research interests include image processing and segmentation.