Utility for splitting large image files into slices or chunks

## Project description

ImageSplit is a utility for splitting very large image volumes into slices or multiple overlapping sub-volumes, and for recombining sub-volumes into a one or more volumes. ImageSplit can also convert the underlying data types.

ImageSplit is designed to prioritise low memory usage over performance, so that large volumes can be easily processed with limited memory resources.

Author: Tom Doel

ImageSplit was developed as part of the GIFT-Surg project, at the Translational Imaging Group (TIG) in the Centre for Medical Image Computing (CMIC) at University College London (UCL).

## Installing

pip install imagesplit
Notes:
• We recommend you use pip to install ImageSplit.

• Ensure you have Python 2.7 or 3.5 or later installed

• (especially for macOS users): we suggest you do not modify the system installation of Python 2.7. Instead install a separate version of Python for development purposes (for example, using Homebrew), or use virtualenv to create a python virtual environment which you can safely modify without affecting the system installation.

• If you have Python 2 and Python 3 insatlled, pip2 may map to Python 2 and pip3 may map to Python 3. This will depend on your installation

• If you get permission errors when using pip, you may be trying to modify the system Python installation. This is not recommended. Instead install a local version of Python for development, or use a virtual environment (virtualenv).

## Example usage

Here is an example:

imagesplit --input input_data/image.vge --out output_data/split_image -s c --format tiff -z --rescale -50 350 --type uchar
This command will:
• split the volume file with header input_data/image.vge

• into coronal slices (-s c)

• saving them in the output_data folder with the filenames split_image_0000.tiff, split_image_0001.tiff etc

• The file format is tiff (–format tiff)

• with default compression (-z)

• and data type unsigned char (–type uchar)

• The data will be normalised (rescaled) between minimum and maximum values -50 and 350 (–rescale -50 350)

## Detailed Usage

imagesplit.py [-h] -i INPUT [-o OUT] [-l OVERLAP] [-m MAX [MAX ...]] [-x STARTINDEX] [-t TYPE] [-f FORMAT] [-r [RESCALE [RESCALE ...]]] [-z [COMPRESS]] [-s SLICE] [-a AXIS [AXIS ...]] [--test]
warning:

ImageSplit will overwrite existing output files. Make sure you have your images backed up before you use this utility, to prevent accidental data loss.

Arguments:

Input and output filenames:

-i INPUT, --input INPUT

Name of input file, or filename prefix for a set of files

-o OUT, --out OUT

Name of output file, or filename prefix if more than one file is output

-x STARTINDEX, --startindex STARTINDEX

Start index for filename suffix when loading or saving a sequence of files

Specify how to split the image:

-l OVERLAP, --overlap OVERLAP

Number of voxels to overlap between output images. If not specified, output images will not overlap

-m MAX, --max MAX

Maximum number of voxels in each dimension in each output file. MAX can be a scalar or vector corresponding to each image dimension. The file will be optimally split such that each file output dimension is less than or equal to this maximum.

Specify file format, data type, and whether data should be rescaled (normalised):

-t TYPE, --type TYPE

Output data type (default: same as input file datatype)

-f FORMAT, --format FORMAT

Output file format such as mhd, tiff (default: same as input file format)

-r RESCALE, --rescale RESCALE

Rescale image between the specified min and max values. If no RESCALE values are specified, use the volume limits.

-z COMPRESS, --compress COMPRESS

Enables compression (default if -Z not specified: no compression). Valid values depend on the output file format. -z with no COMPRESS argument will choose a suitable compression for this file format. For TIFF files, the default is Adboe deflat and other valid values are those supported by PIL.

Specify output orientation:

-s SLICE, --slice SLICE

Divide image into slices along the specified axis. Choose 1, 2, 3 etc to select an axis relative to the current image orientation, or c, s, a to select an absolute orientation.This argument cannot be used with –axis, –max or –overlap.

-a AXIS, --axis AXIS

Axis ordering (default 1 2 3). Specifies the global axis corresponding to each dimension in the image file. The first value is the global axis represented by the first dimension in the file, and so on. One value for each dimension, dimensions are numbered 1,2,3,… and a negative value means that axis is flipped. This cannot be used with –slice

Help and testing:

--test

If set, no writing will be performed to the output files

-h, --help

Show this help message and exit

## Project details

Uploaded py2 py3