Source: insighttoolkit4 Homepage: http://www.itk.org/ Section: science Priority: optional Maintainer: Debian Med Packaging Team Uploaders: Steve M. Robbins , Gert Wollny Build-Depends: debhelper-compat (= 13), cmake (>= 2.8.9), dh-python, swig, castxml (>= 0.3.4-2), zlib1g-dev (>= 1.2.2), libdouble-conversion-dev, libexpat-dev, libpng-dev, libtiff-dev, libfftw3-dev, libdcmtk-dev (>= 3.6.1~20150924-4), libgdcm-dev, libgtest-dev, uuid-dev, libminc-dev, libnifti2-dev, libhdf5-dev, python3-dev # libvtk6-dev -- only needed if we enable one of the following modules: # VtkGlue, LevelSetsv4Visualization Standards-Version: 4.5.0 Vcs-Browser: https://salsa.debian.org/med-team/insighttoolkit Vcs-Git: https://salsa.debian.org/med-team/insighttoolkit.git Package: libinsighttoolkit4.13 Section: libs Architecture: amd64 i386 Depends: ${shlibs:Depends}, ${misc:Depends} Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libinsighttoolkit4-dev Section: libdevel Architecture: amd64 i386 Depends: ${shlibs:Depends}, ${misc:Depends}, libinsighttoolkit4.13 (= ${binary:Version}), libgdcm-dev, libdcmtk-dev, libhdf5-dev, libdouble-conversion-dev, libexpat-dev, libnifti-dev, libminc-dev Recommends: libfftw3-dev, uuid-dev Conflicts: libinsighttoolkit-dev, libinsighttoolkit3-dev Replaces: libinsighttoolkit-dev Suggests: insighttoolkit4-examples Description: Image processing toolkit for registration and segmentation - development ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the development files needed to build your own ITK applications. Package: insighttoolkit4-examples Section: devel Architecture: all Depends: ${misc:Depends}, ${shlibs:Depends} Suggests: libinsighttoolkit4-dev Conflicts: insighttoolkit-examples Replaces: insighttoolkit-examples Description: Image processing toolkit for registration and segmentation - examples ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the source for example programs. Package: insighttoolkit4-python3 Section: python Architecture: amd64 i386 Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends} Conflicts: insighttoolkit-python, insighttoolkit4-python Description: Image processing toolkit for registration and segmentation - Python bindings ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the Python bindings.