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Dr. İbrahim Erkutlu
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Chapter 5 Classification of Volume Rendering Algorithms

The object of this chapter is to give the general background of volume graphics together with a general classification. It is important to mention that there is not a complete agreement on a standard volume visualization vocabulary yet, a nomenclature is approaching consensus, where multiple terms exist for the same concept. And even a standard classification of volume visualization algorithms is not available. The classification of the algorithms given below is therefore not binding. All of the names of the algorithms are carefully taken into consideration and emphasized.

Volume visualization has been the most active sub-area of researches during last 20 years in scientific visualization. To be useful, volume visualization techniques must offer understandable data representations, quick data manipulation, and reasonably fast rendering. Scientific users should be able to change parameters and see the resultant image instantly. Few present day systems are capable of this type of performance; therefore researchers are still studying many new ways to use volume visualization effectively.

The rendering approaches differ in several aspects which can be used for their detailed classification in various ways [8, 9, 17-21]. Coarsely, volume visualization is done using two different approaches based on the portion of the volume raster set which they render; (Figure 1.4, Figure 1.5)

1.Surface rendering (or indirect volume rendering),

2.Volume rendering (or direct volume rendering).

 

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Beyin Bilgisayar Arayüzü - BBA
Sayısal Sinyal İşleme - SSİ
Tıbbi Görüntü İşleme
Expand Biyomedikal CihazlarBiyomedikal Cihazlar
PC Tabanlı Estrümentasyon
Collapse Araştırma YazılarıAraştırma Yazıları
Collapse Volume Rendering TemelleriVolume Rendering Temelleri
Ch.1 Introduction to Volume Rendering
Ch.2 Volume Rendering
Ch.3 Volumetric Data
Ch.4 Voxels and Cells
Ch.5 Classification of VR Algorithms
Ch.6 Optimization in Volume Rendering
Ch.7 References
Expand Accelerating Volume Rendering by DSP Hardware ImplementationAccelerating Volume Rendering by DSP Hardware Implementation
Ch.1 Volume Rendering
Ch.2 Optimization in VR
Ch.3 Framework
Ch.4 Choosing the Appropriate DSP Processor
Ch.5 Implementation
Expand A Review of Floating Point Basics and Comparison of Dedicated ProcessorsA Review of Floating Point Basics and Comparison of Dedicated Processors
Ap.B - IEEE Radix-Independent Floating Point
Ap.C - Calculation of Emax and Bias
Ch.3 Introduction to DSP
Ch.4 Memory Architectures
Ch.2 Digital Signal Processors
Ch.6 Appropriate DSP Processor
Ap.A - IEEE Floating Point Arithmetic
Ch.1 Binary Systems
Ch.5 Review of DSP Processors
Expand Neural Networks and Pattern Recognition Using MATLABNeural Networks and Pattern Recognition Using MATLAB
Ch.1 Pattern Classification
Ch.2 Matrix Theory Applications
Ch.3 Network Object Reference
Ch.4 Bayesian Decision Theory
Ch.6 Intro to Neural Networks
Ch.7 Neural Networks
Ch.5 Principal Component Analysis
Ch.8 Classical Models of NN
Ch.9 Linear Discriminant Functions
Ch.10 Multilayer Neural Networks
Ch.11 Non-Parametric Techniques


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