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#ITK METAIMAGE READER FOR READING JPEG IMAGES HOW TO#
#ITK METAIMAGE READER FOR READING JPEG IMAGES INSTALL#
#ITK METAIMAGE READER FOR READING JPEG IMAGES SOFTWARE#
#ITK METAIMAGE READER FOR READING JPEG IMAGES CODE#

MetaImageImporter asks a series of questions about your data and then produces a MetaImage header file that points to your data and allows the MetaIO library to read your data.

Compressed data is includes JPEG or GIF formats as well as select PNG and TIFF images.

It has an application called “convert” that handles most of the popular 2D image formats.

#ITK METAIMAGE READER FOR READING JPEG IMAGES SOFTWARE#

One of the most robust image conversion software packages is ImageMagick ( Unix and PC versions available).

Uncompressed data is data stored in a raw format, possibly with a header, as is often the case for DICOM, BMP, and PNG formatted images.įor compressed data, you must first convert your data to a non-compressed format.This section gives examples on how “convert” your data to the MetaImage format.įor uncompressed data, “conversion” to MetaImage is actually just a matter of specifying a MetaImage Headerfile (a “MetaHeader”) that describes and points to the file(s) containing your data. This section assumes that you have data that you wish to process using an application that reads MetaImages. Quick Start Data conversion via MetaHeaders Instead of a stand-alone installation, we highly recommend using the distribution in ITK - if you build ITK, you get MetaIO for free! This is left as an exercise to the user (hint: requires the kwsys and zlib libraries). MetaIO can also be compiled outside of these toolkits. The hierarchy of the software in the Visualization toolkit is as follows:

#ITK METAIMAGE READER FOR READING JPEG IMAGES HOW TO#

See the file /Insight/Examples/MetaImageReadWrite for a working example on how to develop a program using MetaImage for IO. Numerous other examples and applications in InsightApplications also rely on FLTK.

#ITK METAIMAGE READER FOR READING JPEG IMAGES INSTALL#

Install FLTK and then ITK and then InsightApplications to have every MetaIO example built. Routines that wrap MetaIO for reading and writing ITKS's Spatial Objects (tubes, blobs, ellipses, meshes, etc.) are inĬertain examples, such as the MetaImageViewer, also require FLTK (a cross-platform user interface library available from ). Routines that wrap MetaIO for ITK's image IO object factory are in

ColorImageViewer (formerly MetaColorImageViewer).

This document and the MetaObjects The hierarchy of the software in the Insight and InsightApplications distributions is as follows: The top level contains the source files, the header files, and the CMakeLists.txt file that is used by the CMake program to compile MetaIO. The hierarchy of the software in the stand-alone MetaIO package is as follows: It is also quite easy to use MetaIO from within these toolkits without using the rest of the toolkit. MetaIO should be built as part of the standard ITK and VTK installations.

#ITK METAIMAGE READER FOR READING JPEG IMAGES CODE#

Aylward, or Julien Jomier, if you encounter any incompatibilities between our code and your compiler.

Know compatible compilers include G++ v2.95 and beyond (and probably previous), Microsoft Visual C++ 6.0, Sun’s CC on Solaris 2.6 and beyond, Intel compiler and compilers on other workstations including HPs, SGIs, and Alpha systems. We have yet to find a modern C++ compiler that does not compile MetaIO. MetaIO is a hierarchy of C++ classes and functions.

National Library of Medicine’s Insight Toolkit (ITK) for medical image segmentation and registration:.

MetaIO is being distributed with the following packages: Introduction and Installation Obtaining MetaIO New features are occasionally added, but backward compatibility will always be maintained. MetaImage has been in use for several years by a wide range of research at UNC, Chapel Hill. The central code of MetaImage/MetaIO is quite stable. We have now extended that file format to support a variety of objects that occur in medicine such a tubes (for vessels, needles, etc.), blobs (for arbitrary shaped objects), cubes, spheres, etc. MetaImage is the text-based tagged file format for medical images that resulted.

2.3.4 Reading DICOM and Other One-Slice-Per-File Data Formats.

2.3.3 Reading a Brick-of-Bytes (an N-Dimensional volume in a single file).