| Chapter 4. Image Processing Concepts | ||
|---|---|---|
 |  | |
| Chapter 4. Image Processing Concepts | ||
|---|---|---|
| | | |
Table of Contents
Chapter Objectives
By reading this chapter you will understand how image processing in the ML is organized and you will be able to differentiate your image processing algorithms between
voxel-based or page-based (see Section 4.2.1, “Page-Based Concept” and Section 4.2.2, “Voxel-Based Concept ”),
slice-based (see Section 4.2.3, “Slice-Based Concept”),
kernel-based (see Kernel Progamming),
partially global approaches like
random access (see Section 4.3.1, “Random Access Concept (Tile Requesting)”),
sequential access (see Section 4.3.2, “Sequential Image Processing Concept”) and
virtual volume (see Section 4.3.3, “VirtualVolume Concept”)
global image processing approaches like
temporary global (see Section 4.4.1, “Temporary Global Concept”)
global (see Section 4.4.2, “Global Image Processing Concept”)
BitImage (see Section 4.4.3, “BitImage Concept”)
MemoryImage (see Section 4.4.4, “MemoryImage Concept”)
mixed modules (see Section 4.5, “Miscellaneous Modules”)
and you will be able to select the appropriate ways to implement these processing algorithms in the ML.
© 2023 MeVis Medical Solutions AG
| | | |
| Chapter 3. Deriving Your Own Module from Module |  | 4.2. Page-Based Approaches |