Image Segmentation and Mesh Generation | Based on Feature-Sensitive and Adaptive Image Triangulation

Ming Xu

ISBN 10: 3330325976 / ISBN 13: 9783330325975

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

Image Segmentation and Mesh Generation | Based on Feature-Sensitive and Adaptive Image Triangulation | Ming Xu | Taschenbuch | 120 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330325975 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 109401124

Bibliographic Details

• Title: Image Segmentation and Mesh Generation | Based on Feature-Sensitive and Adaptive Image Triangulation
• Publisher: LAP LAMBERT Academic Publishing
• 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
• Seller catalogs:
  • Bücher

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.