In recent years, topology based techniques have begun to emerge as
a general framework in visualization with the increase of
scientific data in size and complexity. Topology could be used to
capture significant features of the data at an abstract level,
enabling and facilitating data understanding in visualization. This
book focuses on investigating effective uses of the contour tree,
one of topological abstractions of the scalar field, in improving
efficiency of volumetric data analysis. It achieves the goals by
increasing the presentation of topology information in order to
explore various relationships of geometrical structures. In
particular, the book plays emphasis on a novel approach for
automating transfer function generations in volume visualization
using topology-controlled residue flow model and harmonic colors.
The generated transfer functions reveal structural relationships
automatically. To make this work practical, this book also deals
with topology simplification. The analysis should help shed some
light on the research of topology-controlled visualization. It
should be especially useful to professionals in volumetric
visualization and medical image analysis.
General
Imprint: |
Lap Lambert Academic Publishing
|
Country of origin: |
Germany |
Release date: |
May 2012 |
First published: |
May 2012 |
Authors: |
Jianlong Zhou
|
Dimensions: |
229 x 152 x 11mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
184 |
ISBN-13: |
978-3-659-13484-5 |
Categories: |
Books >
Computing & IT >
General theory of computing >
General
|
LSN: |
3-659-13484-8 |
Barcode: |
9783659134845 |
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