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|
Description: Fix some spelling errors.
Author: Yavor Doganov <yavor@gnu.org>
Forwarded: no
Last-Update: 2025-10-20
---
--- mia.orig/mia/2d/filter/sortlabel.cc
+++ mia/mia/2d/filter/sortlabel.cc
@@ -119,7 +119,7 @@
const std::string CSortLabelFilterPlugin::do_get_descr()const
{
return "This plug-in sorts the labels of a gray-scale image so that the lowest label "
- "value corresponts to the lable with themost pixels. The background (0) is not touched";
+ "value corresponts to the label with themost pixels. The background (0) is not touched";
}
extern "C" EXPORT CPluginBase *get_plugin_interface()
--- mia.orig/mia/template/seededwatershed.hh
+++ mia/mia/template/seededwatershed.hh
@@ -310,7 +310,7 @@
m_input_is_gradient(false)
{
this->add_parameter("seed", new CStringParameter(m_seed_image_file, CCmdOptionFlags::required_input,
- "seed input image containing the lables for the initial regions"));
+ "seed input image containing the labels for the initial regions"));
this->add_parameter("n", make_param(m_neighborhood, "sphere:r=1", false, "Neighborhood for watershead region growing"));
this->add_parameter("mark", new CBoolParameter(m_with_borders, false, "Mark the segmented watersheds with a special gray scale value"));
this->add_parameter("grad", new CBoolParameter(m_input_is_gradient, false, "Interpret the input image as gradient. "));
--- mia.orig/src/2dfluid-syn-registration.cc
+++ mia/src/2dfluid-syn-registration.cc
@@ -99,9 +99,9 @@
options.set_group("Registration");
options.add(make_opt( mg_levels, "mg-levels", 'l', "Number of multi-resolution levels to run the "
"registration on. Not that some registration parameters can be given as a "
- "coma seperated list to indicate per level values. In these cases if the "
+ "coma separated list to indicate per level values. In these cases if the "
"number of given values is smaller than the number of multi-resolution "
- "levels (this parameter), the the last given value is used for all subsequest "
+ "levels (this parameter), the the last given value is used for all subsequent "
"multi-resolution levels."));
options.add(make_opt(current_step, EParameterBounds::bf_min_open | EParameterBounds::bf_max_closed,
{0.0f, 0.5f}, "step", 'S', "Initial step size for all levels"));
--- mia.orig/src/2dfuzzysegment.cc
+++ mia/src/2dfuzzysegment.cc
@@ -64,7 +64,7 @@
CCmdOptionList options(g_description);
options.set_group("File-IO");
options.add(make_opt( in_filename, "in-file", 'i',
- "input image(s) to be segmenetd", CCmdOptionFlags::required_input, &imageio));
+ "input image(s) to be segmented", CCmdOptionFlags::required_input, &imageio));
options.add(make_opt( cls_filename, "cls-file", 'c',
"output class probability images (floating point values and multi-image)",
CCmdOptionFlags::output, &imageio));
--- mia.orig/src/2dmyocard-ica.cc
+++ mia/src/2dmyocard-ica.cc
@@ -53,7 +53,7 @@
{
pdi_example_descr, "Evaluate the synthetic references from images imageXXXX.exr and save them to "
- "refXXXX.exr by using five independend components, mean stripping, normalizing, "
+ "refXXXX.exr by using five independent components, mean stripping, normalizing, "
"and skipping 2 images."
},
--- mia.orig/src/2dmyocard-icaseries.cc
+++ mia/src/2dmyocard-icaseries.cc
@@ -55,7 +55,7 @@
},
{
pdi_example_descr, "Evaluate the synthetic references from set segment.set and save "
- "them to refXXXX.??? by using five independend components, and skipping 2 images. "
+ "them to refXXXX.??? by using five independent components, and skipping 2 images. "
"Per default a bounding box around the LV will be segmented and scaled by 1.4 and "
"the cropped images will be saved to cropXXXX.??? and a segmentation set cropped.set "
" is created. The image file type ??? is deducted from the input images in segment.set."
--- mia.orig/src/2dsegment-local-cmeans.cc
+++ mia/src/2dsegment-local-cmeans.cc
@@ -153,7 +153,7 @@
opts.add(make_opt( cmeans_epsilon, EParameterBounds::bf_min_open,
{0.0}, "c-means-epsilon", 'e', "c-means breaking condition for update tolerance"));
opts.add(make_opt( rel_cluster_threshold, EParameterBounds::bf_min_closed | EParameterBounds::bf_max_open,
- {0.0, 1.0}, "relative-cluster-threshold", 't', "threshhold to ignore classes when initializing"
+ {0.0, 1.0}, "relative-cluster-threshold", 't', "threshold to ignore classes when initializing"
" the local cmeans from the global one."));
if (opts.parse(argc, argv) != CCmdOptionList::hr_no)
--- mia.orig/src/2dsegseriesstats.cc
+++ mia/src/2dsegseriesstats.cc
@@ -35,7 +35,7 @@
{
pdi_description, "This program is used evaluate various time-intensity curves over a series of images "
- "given by a segmentation set. Specifically, the program is taylored to evaluate average "
+ "given by a segmentation set. Specifically, the program is tailored to evaluate average "
"intensities and variations of sections the left ventricle myocardium. "
"The segmentation set must contain the segmentations for all slices that will be accessed "
"during evaluation. "
--- mia.orig/src/2dseries-mincorr.cc
+++ mia/src/2dseries-mincorr.cc
@@ -37,7 +37,7 @@
{pdi_group, "Tools for Myocardial Perfusion Analysis"},
{pdi_short, "Evaluate minimal correlation of time-intensity curves."},
{
- pdi_description, "Given a set of images of temporal sucession, this program evaluates the "
+ pdi_description, "Given a set of images of temporal succession, this program evaluates the "
"minimal correlation of the time-intensity curve between neighboring pixels."
},
{
--- mia.orig/src/2dseries2sets.cc
+++ mia/src/2dseries2sets.cc
@@ -39,7 +39,7 @@
pdi_description, "This program takes all image files that are given as free parameters "
"on the command line and creates segmentation sets based on information found in the images. "
"Used information is the z-location of the slice and the acquisition number. "
- "The code is taylored to used the according descriptors defined in the DICOM standard. "
+ "The code is tailored to use the according descriptors defined in the DICOM standard. "
"All images with the same slice location will be grouped together in one segmentation "
"set and ordered according to their acquisition number. "
"Slice locations are rounded to three digits accuracy to make proper comparison "
--- mia.orig/src/2dseriescorr.cc
+++ mia/src/2dseriescorr.cc
@@ -40,7 +40,7 @@
{pdi_short, "Evaluate the time-intensity correlation in a series of images."},
{
- pdi_description, "Given a set of images of temporal sucession, evaluates images that represent "
+ pdi_description, "Given a set of images of temporal succession, evaluates images that represent "
"the time-intensity correlation in horizontal and vertical direction as "
"well as average correlation of each pixel with its neighbors. "
"All input images must be of the same pixel type and size."
--- mia.orig/src/2dseriesgradMAD.cc
+++ mia/src/2dseriesgradMAD.cc
@@ -38,7 +38,7 @@
{pdi_group, "Tools for Myocardial Perfusion Analysis"},
{pdi_short, "Evaluate the time-intensity gradient MAD in a series of images."},
{
- pdi_description, "Given a set of images of temporal sucession, evaluates the "
+ pdi_description, "Given a set of images of temporal succession, evaluates the "
"pixel-wise temporal gradient and then its median average distance (MAD) "
"and stores the result in an image. Spacial pre-filtering may be applied "
"as given additional plugin(s) (filter/2dimage)."
--- mia.orig/src/2dseriesgradvariation.cc
+++ mia/src/2dseriesgradvariation.cc
@@ -40,7 +40,7 @@
{pdi_short, "Evaluate the time-intensity gradient variation in a series of images."},
{
- pdi_description, "Given a set of images of temporal sucession, this program evaluates the "
+ pdi_description, "Given a set of images of temporal succession, this program evaluates the "
"gradient variation of the pixel-wise time-intensity curves of this series. "
"If the input image set provides a segmentation, then this segmentation can "
"be used to create a bounding box and restrict evaluation to this box. "
--- mia.orig/src/2dseriessmoothgradMAD.cc
+++ mia/src/2dseriessmoothgradMAD.cc
@@ -40,7 +40,7 @@
{pdi_short, "Evaluate pixel-wise time-intensity gradient of a 2D image series."},
{
- pdi_description, "Given a set of images of temporal sucession, evaluate the temporal "
+ pdi_description, "Given a set of images of temporal succession, evaluate the temporal "
"pixel-wise gaussian and evaluate pixel-wise its MAD."
"A spacial pre-filtering may be applied by specifying additional plugins "
"(filter/2dimage)"
--- mia.orig/src/2dtransform.cc
+++ mia/src/2dtransform.cc
@@ -36,7 +36,7 @@
{pdi_description, "This program is used to deform a 2D image using a given transformation."},
{
- pdi_example_descr, "Transform an image input.png by the transfromation stored in trans.v "
+ pdi_example_descr, "Transform an image input.png by the transformation stored in trans.v "
"by using linear interpolation and zero boundary conditions and store the result in output.png"
},
--- mia.orig/src/3dcrispsegment.cc
+++ mia/src/3dcrispsegment.cc
@@ -31,7 +31,7 @@
{pdi_short, "Label segmentation according to probabilities."},
{
pdi_description, "This program creates a label image from a fuzzy segmentation. "
- "or each pixel the label is set to the class with the higest probability plus a given offset"
+ "or each pixel the label is set to the class with the highest probability plus a given offset"
},
{
pdi_example_descr, "Set the labels based on the input class probability file cls.v "
--- mia.orig/src/3dfluid-syn-registration.cc
+++ mia/src/3dfluid-syn-registration.cc
@@ -98,10 +98,10 @@
{
options.set_group("Registration");
options.add(make_opt( mg_levels, "mg-levels", 'l', "Number of multi-resolution levels to run the registration on. "
- "Not that some registration parameters can be given as a coma seperated list to "
+ "Not that some registration parameters can be given as a coma separated list to "
"indicate per level values. In these cases if the number of given values is smaller "
"than the number of multi-resolution levels (this parameter), the the last given value "
- "is used for all subsequest multi-resolution levels."));
+ "is used for all subsequent multi-resolution levels."));
options.add(make_opt(current_step, EParameterBounds::bf_min_open | EParameterBounds::bf_max_closed,
{0.0f, 0.5f}, "step", 'S', "Initial step size for all levels"));
options.add(make_opt( cost, "ssd", "cost", 'c', "Image similarity function to be minimized"));
--- mia.orig/src/3dfuzzysegment.cc
+++ mia/src/3dfuzzysegment.cc
@@ -65,10 +65,10 @@
float residuum = 0.1;
const auto& imageio = C3DImageIOPluginHandler::instance();
CCmdOptionList options(g_description);
- options.add(make_opt( in_filename, "in-file", 'i', "input image(s) to be segmenetd",
+ options.add(make_opt( in_filename, "in-file", 'i', "input image(s) to be segmented",
CCmdOptionFlags::required_input, &imageio));
options.add(make_opt( cls_filename, "cls-file", 'c', "output class probability images. Note, the "
- "used file format must support multible images (best is to use vista)",
+ "used file format must support multiple images (best is to use vista)",
CCmdOptionFlags::output, &imageio));
options.add(make_opt( out_filename, "b0-file", 'o', "image corrected for intensity non-uniformity",
CCmdOptionFlags::output, &imageio));
--- mia.orig/src/3dlandmarks-transform.cc
+++ mia/src/3dlandmarks-transform.cc
@@ -47,7 +47,7 @@
{
pdi_example_descr,
- "Transform the landmarks given in input.lmx by applyning the transfromation stored in trans.v "
+ "Transform the landmarks given in input.lmx by applying the transformation stored in trans.v "
"and store the result in output.lmx"
},
--- mia.orig/src/3dmaskseeded.cc
+++ mia/src/3dmaskseeded.cc
@@ -39,7 +39,7 @@
pdi_description, "3D image segmentation based on region growing from a seed point. "
"Neighboring points are added, either when their intensity is "
"equal or higher than that of the seed point, or of the intensity "
- "is lower or equal then that of the neighoring point. "
+ "is lower or equal then that of the neighboring point. "
"After region growing is finished, this mask is used to zero out "
"the region in the original image yielding the resulting image. "
},
--- mia.orig/src/3dsegment-local-cmeans.cc
+++ mia/src/3dsegment-local-cmeans.cc
@@ -176,7 +176,7 @@
opts.add(make_opt( cmeans_epsilon, EParameterBounds::bf_min_open,
{0.0}, "c-means-epsilon", 'e', "c-means breaking condition for update tolerance"));
opts.add(make_opt( rel_cluster_threshold, EParameterBounds::bf_min_closed | EParameterBounds::bf_max_open,
- {0.0, 1.0}, "relative-cluster-threshold", 't', "threshhold to ignore classes when initializing"
+ {0.0, 1.0}, "relative-cluster-threshold", 't', "threshold to ignore classes when initializing"
" the local cmeans from the global one."));
opts.add(make_opt(ignore_partition_with_background, "ignore-background", 'B',
"Don't take background probablities into account when desiding whether classes are to be ignored"));
--- mia.orig/src/3dtransform.cc
+++ mia/src/3dtransform.cc
@@ -45,7 +45,7 @@
{
pdi_example_descr,
- "Transform an image input.v by the transfromation stored in trans.v "
+ "Transform an image input.v by the transformation stored in trans.v "
"by using nearest neighbour interpolation ans store the result in output.v"
},
--- mia.orig/src/raw2volume.cc
+++ mia/src/raw2volume.cc
@@ -44,7 +44,7 @@
{
pdi_description, "This program is used to convert raw data into 3D images "
- "with apropriate metadata."
+ "with appropriate metadata."
},
{pdi_example_descr, "pixel size of <1.2, 2.3, 3.4> to an Analyze file image.hdr"},
--- mia.orig/mia/2d/perfusion.cc
+++ mia/mia/2d/perfusion.cc
@@ -555,7 +555,7 @@
if (nc < 7)
goto retry;
- cvmsg() << "Directional assumtion failed\n";
+ cvmsg() << "Directional assumption failed\n";
return result;
}
--- mia.orig/mia/2d/segset.cc
+++ mia/mia/2d/segset.cc
@@ -180,7 +180,7 @@
if (attr.empty())
cvwarn() << "CSegFrame: LVpeak without attribute";
else if (!from_string(attr, m_RV_peak)) {
- cvwarn() << "Could't convert RV_peak attribute '" << attr
+ cvwarn() << "Couldn't convert RV_peak attribute '" << attr
<< "' to an integer; ignoring\n";
m_RV_peak = -1;
}
@@ -190,7 +190,7 @@
if (attr.empty())
cvwarn() << "CSegFrame: LVpeak without attribute";
else if (!from_string(attr, m_LV_peak)) {
- cvwarn() << "Could't convert LV_peak attribute '" << attr
+ cvwarn() << "Couldn't convert LV_peak attribute '" << attr
<< "' to an integer; ignoring\n";
m_LV_peak = -1;
}
@@ -200,7 +200,7 @@
if (attr.empty())
cvwarn() << "CSegFrame: PreferedRef without attribute";
else if (!from_string(attr, m_preferred_reference)) {
- cvwarn() << "Could't convert PreferedRef attribute '" << attr
+ cvwarn() << "Couldn't convert PreferedRef attribute '" << attr
<< "' to an integer; ignoring\n";
m_preferred_reference = -1;
}
--- mia.orig/mia/core/fastica/deflationnonlinearity.cc
+++ mia/mia/core/fastica/deflationnonlinearity.cc
@@ -198,7 +198,7 @@
const std::string CFastICADeflGaussPlugin::do_get_descr()const
{
return "Implementation of the Gauss non-linearity for the deflation based "
- "FastICA algorithm. Use it when the independend components are highly "
+ "FastICA algorithm. Use it when the independent components are highly "
"super-Gaussian or robustness is very important.";
}
--- mia.orig/mia/core/fastica/fastica.cc
+++ mia/mia/core/fastica/fastica.cc
@@ -150,7 +150,7 @@
// update the number of components
m_numOfIC = pca_result.eval.size();
- cvdebug() << "Considering " << m_numOfIC << " independend components\n";
+ cvdebug() << "Considering " << m_numOfIC << " independent components\n";
cvdebug() << "PCA: eval= " << pca_result.eval << "\n";
cvdebug() << "PCA: evec= " << pca_result.evec << "\n";
evaluate_whiten_matrix(pca_result.evec, pca_result.eval);
--- mia.orig/mia/core/handlerbase.cc
+++ mia/mia/core/handlerbase.cc
@@ -66,7 +66,7 @@
if (handler_map.find(m_descriptor) != handler_map.end())
return;
- cvdebug() << "Add '" << m_descriptor << "' to dependend handlers\n";
+ cvdebug() << "Add '" << m_descriptor << "' to dependent handlers\n";
handler_map[m_descriptor] = this;
do_add_dependend_handlers(handler_map);
}
--- mia.orig/mia/core/ica.cc
+++ mia/mia/core/ica.cc
@@ -65,7 +65,7 @@
template<> const char *const
TPluginHandler<TFactory<CIndepCompAnalysisFactory>>::m_help =
- "These plug-ins provide implementations for the ICA algoritm.";
+ "These plug-ins provide implementations for the ICA algorithm.";
EXPLICIT_INSTANCE_HANDLER(CIndepCompAnalysisFactory);
--- mia.orig/mia/core/plugin_base.cc
+++ mia/mia/core/plugin_base.cc
@@ -74,7 +74,7 @@
void CPluginBase::add_dependend_handlers(HandlerHelpMap& handler_map)
{
TRACE_FUNCTION;
- cvdebug() << "Add dependend handler for plugin '" << get_name() << "'\n";
+ cvdebug() << "Add dependent handler for plugin '" << get_name() << "'\n";
get_parameters().add_dependend_handlers(handler_map);
}
--- mia.orig/src/2dmyocard-segment.cc
+++ mia/src/2dmyocard-segment.cc
@@ -495,7 +495,7 @@
if (perf_idx < 0)
throw runtime_error("perfusion could not be identified");
- cvmsg() << "Using " << test_components << " independend components\n";
+ cvmsg() << "Using " << test_components << " independent components\n";
// after running ICA get the related feature images
auto RV_feature = ica->get_feature_image(rv_idx);
auto LV_feature = ica->get_feature_image(lv_idx);
--- mia.orig/src/wavelettrans.cc
+++ mia/src/wavelettrans.cc
@@ -173,7 +173,7 @@
C1DWavelet wt(wt_type, k);
for (unsigned int i = 0; i < vx.size(); ++i) {
- cvdebug() << "transfrom column of size " << table[i].size() << "\n";
+ cvdebug() << "transform column of size " << table[i].size() << "\n";
table[i] = wt.forward(table[i]);
cverb << " result size = " << table[i].size() << "\n";
}
|
