Description: Fix some spelling errors. Author: Yavor Doganov 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>::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"; }