# ITKDissolve
[](https://github.com/dyollb/ITKDissolve/actions)
[](https://github.com/dyollb/ITKDissolve/blob/main/LICENSE)
[](https://badge.fury.io/py/itk-dissolve)
<img src="https://img.shields.io/pypi/dm/itk-dissolve.svg?label=pypi%20downloads&logo=python&logoColor=green"/>
<img src="https://img.shields.io/badge/python-%203.7%20|%203.8%20|%203.9%20|%203.10%20|%203.11%20-3776ab.svg"/>
## Overview
This is a module for the Insight Toolkit ([ITK](https://github.com/InsightSoftwareConsortium/ITK)) that provides functionality to discard pixels within a masked region. Unlike masking, the pixels in the masked region are replaced (dissolved) by their nearest pixels outside the mask. This can be useful to clean-up label fields, e.g. to remove small islands/holes or remove entire labels, and replace them by the adjacent labels.
The module includes a filter called DissolveMaskImageFilter.
```python
import itk
labels = itk.imread('path/to/labels.mha').astype(itk.US)
mask = itk.imread('path/to/mask.mha').astype(itk.UC)
ImageType = type(labels)
MaskType = type(mask)
dissolve = itk.DissolveMaskImageFilter[ImageType, MaskType].New()
dissolve.SetInput(labels)
dissolve.SetMaskImage(mask)
dissolve.Update()
modified_labels = dissolve.GetOutput()
itk.imwrite(modified_labels, 'modified_labels2.mha')
```
Or using the pythonic API:
```python
import itk
labels = itk.imread('path/to/labels.mha').astype(itk.US)
mask = itk.imread('path/to/mask.mha').astype(itk.US)
modified_labels = itk.dissolve_mask_image_filter(labels, mask_image=mask)
itk.imwrite(modified_labels, 'path/to/modified_labels.mha')
```
## Installation
To install the binary Python packages:
```shell
python -m pip install itk-dissolve
```
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"description": "# ITKDissolve\n\n[](https://github.com/dyollb/ITKDissolve/actions)\n[](https://github.com/dyollb/ITKDissolve/blob/main/LICENSE)\n[](https://badge.fury.io/py/itk-dissolve)\n<img src=\"https://img.shields.io/pypi/dm/itk-dissolve.svg?label=pypi%20downloads&logo=python&logoColor=green\"/>\n<img src=\"https://img.shields.io/badge/python-%203.7%20|%203.8%20|%203.9%20|%203.10%20|%203.11%20-3776ab.svg\"/>\n## Overview\n\nThis is a module for the Insight Toolkit ([ITK](https://github.com/InsightSoftwareConsortium/ITK)) that provides functionality to discard pixels within a masked region. Unlike masking, the pixels in the masked region are replaced (dissolved) by their nearest pixels outside the mask. This can be useful to clean-up label fields, e.g. to remove small islands/holes or remove entire labels, and replace them by the adjacent labels.\n\nThe module includes a filter called DissolveMaskImageFilter.\n\n```python\n import itk\n labels = itk.imread('path/to/labels.mha').astype(itk.US)\n mask = itk.imread('path/to/mask.mha').astype(itk.UC)\n\n ImageType = type(labels)\n MaskType = type(mask)\n\n dissolve = itk.DissolveMaskImageFilter[ImageType, MaskType].New()\n dissolve.SetInput(labels)\n dissolve.SetMaskImage(mask)\n dissolve.Update()\n modified_labels = dissolve.GetOutput()\n\n itk.imwrite(modified_labels, 'modified_labels2.mha')\n```\n\nOr using the pythonic API:\n\n```python\n import itk\n labels = itk.imread('path/to/labels.mha').astype(itk.US)\n mask = itk.imread('path/to/mask.mha').astype(itk.US)\n modified_labels = itk.dissolve_mask_image_filter(labels, mask_image=mask)\n itk.imwrite(modified_labels, 'path/to/modified_labels.mha')\n```\n\n## Installation\n\nTo install the binary Python packages:\n\n```shell\n python -m pip install itk-dissolve\n```\n",
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