From 219df877b67337529fa4b0741e04d32c2b515cf7 Mon Sep 17 00:00:00 2001
From: Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de>
Date: Thu, 4 Apr 2024 15:50:34 +0200
Subject: [PATCH] Removed unused code.

Unused code identified in #75.
---
 mirp/_image_processing/add_noise.py         | 32 --------------------
 mirp/_image_processing/normalise_image.py   | 31 -------------------
 mirp/_image_processing/resegmentise_mask.py | 33 ---------------------
 mirp/_image_processing/saturate_image.py    | 18 -----------
 4 files changed, 114 deletions(-)
 delete mode 100644 mirp/_image_processing/add_noise.py
 delete mode 100644 mirp/_image_processing/normalise_image.py
 delete mode 100644 mirp/_image_processing/resegmentise_mask.py
 delete mode 100644 mirp/_image_processing/saturate_image.py

diff --git a/mirp/_image_processing/add_noise.py b/mirp/_image_processing/add_noise.py
deleted file mode 100644
index ff13fde5..00000000
--- a/mirp/_image_processing/add_noise.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from mirp._images.generic_image import GenericImage
-
-
-def add_noise(
-        image: GenericImage,
-        noise_level: None | float = None,
-        noise_estimation_method: str = "chang",
-        repetitions: None | int = None,
-        repetition_id: None | int = None
-) -> GenericImage | list[GenericImage]:
-    if (repetitions is None and repetition_id is None) or repetitions == 0:
-        return image
-
-    if noise_level is None:
-        noise_level = image.estimate_noise(method=noise_estimation_method)
-
-    if noise_level is None:
-        return image
-
-    if repetition_id is not None:
-        image.add_noise(noise_level=noise_level, noise_iteration_id=repetition_id)
-        return image
-
-    else:
-        new_images = []
-        for ii in range(repetitions):
-            new_image = image.copy()
-            new_image.add_noise(noise_level=noise_level, noise_iteration_id=ii)
-
-            new_images += [new_image]
-
-        return new_images
diff --git a/mirp/_image_processing/normalise_image.py b/mirp/_image_processing/normalise_image.py
deleted file mode 100644
index bd53c109..00000000
--- a/mirp/_image_processing/normalise_image.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from typing import Any
-import numpy as np
-
-from mirp._images.generic_image import GenericImage
-
-
-def normalise_image(
-        image: GenericImage,
-        normalisation_method: None | str = None,
-        intensity_range: None | tuple[Any, Any] = None,
-        saturation_range: None | tuple[Any, Any] = None,
-        mask: None | np.ndarray = None,
-        in_place: bool = True
-):
-    if intensity_range is None:
-        intensity_range = [np.nan, np.nan]
-
-    if saturation_range is None:
-        saturation_range = [np.nan, np.nan]
-
-    if in_place:
-        image = image.copy()
-
-    image.normalise_intensities(
-        normalisation_method=normalisation_method,
-        intensity_range=intensity_range,
-        saturation_range=saturation_range,
-        mask=mask
-    )
-
-    return image
diff --git a/mirp/_image_processing/resegmentise_mask.py b/mirp/_image_processing/resegmentise_mask.py
deleted file mode 100644
index 58359e24..00000000
--- a/mirp/_image_processing/resegmentise_mask.py
+++ /dev/null
@@ -1,33 +0,0 @@
-from typing import Any
-
-from mirp._image_processing.utilities import standard_image_process_checks
-from mirp._images.generic_image import GenericImage
-from mirp._masks.base_mask import BaseMask
-
-
-def resegmentise_mask(
-        image: GenericImage,
-        masks: None | BaseMask | list[BaseMask],
-        resegmentation_method: None | str | list[str] = None,
-        intensity_range: None | tuple[Any, Any] = None,
-        sigma: None | float = None
-):
-    # Resegmentises mask based on the selected method.
-    image, masks, return_list = standard_image_process_checks(image, masks)
-    if return_list is None:
-        return masks
-
-    masks: list[BaseMask] = masks
-
-    for mask in masks:
-        mask.resegmentise_mask(
-            image=image,
-            resegmentation_method=resegmentation_method,
-            intensity_range=intensity_range,
-            sigma=sigma
-        )
-
-    if return_list:
-        return masks
-    else:
-        return masks[0]
diff --git a/mirp/_image_processing/saturate_image.py b/mirp/_image_processing/saturate_image.py
deleted file mode 100644
index bc8ba5c9..00000000
--- a/mirp/_image_processing/saturate_image.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Any
-
-from mirp._images.generic_image import GenericImage
-
-
-def saturate_image(
-        image: GenericImage,
-        intensity_range: None | tuple[Any, Any],
-        fill_value: None | tuple[float, float],
-        in_place: bool = True
-):
-    if in_place:
-        image = image.copy()
-
-    # Saturate image
-    image.saturate(intensity_range=intensity_range, fill_value=fill_value)
-
-    return image