- I updated the output error message in all cases of 3-dimensional images where the third dimension had to be equal to 3
- The “delationErosion” function will be replaced with the “dilationErosion” function in version 1.3.0, because the name of the algorithm was wrong (‘delation’ actually corresponds to ‘dilation’). See issue https://github.com/mlampros/OpenImageR/issues/24
- I fixed the (debian, fedora) clang14 warning: “use of bitwise ‘&’ with boolean operands”
- I fixed a clang-UBSAN warning related to the warpAffine() and warpAffine_2d() functions of the OpenImageRheader.h file (this warning was visible in the checks of the fastGLCM R package)
- I’ve added the getAffineTransform() and warpAffine() functions
- I’ve added the Warp_Affine vignette explaining the functionality of the included functions
- I’ve added tests for the getAffineTransform() and warpAffine() functions
- I updated the COPYRIGHTS and CITATION files
- I modified the imageShow() function by adding the clear_viewer parameter. If this parameter is TRUE then the previous image will be removed in the viewer before displaying the next one
- I’ve modified the ‘plot_multi_images()’ method of the GaborFeatureExtract R6 class by adding the titles and the axes parameters.
- I’ve fixed an mistake in the code of the RGB_to_HSV() function in the inst/include/OpenImageRheader.h file related to an StackOverflow issue
- I’ve added the ‘normalize_pixels’ parameter to the ‘resizeImage()’ function and I’ve set it to FALSE so that output pixel values are not normalized by default
- I’ve modified the resize_nearest_rcpp() function in the inst/include/OpenImageRheader.h file by adding a warning in case that the input parameters width and height do not match with the output width and height. See the issue 21 in the OpenImageR Github repository. Moreover, I’ve added tests for the case that the resizeImage(method = “nearest”) function gives a warning.
- I fixed the error in the CRAN results due to mistakes in creation of matrices and arrays in the test (testthat) files.
- I’ve added the CITATION file in the inst directory
- I fixed an error in the ‘equal_spaced’ version of the crop_image_secondary() function
- I fixed invalid URL’s (both in R scripts and vignettes)
- I added the superpixel_bbox() function which returns the bounding box boundaries for the superpixels
- I added the superpixel_bbox_subset() function which returns the bounding box boundaries of a subset of superpixels
- I added the padding() function, which allows a user to pad / extend a matrix or array using a specified value
- I renamed the load_3d_binary to load_binary and now a user can load either a 2- or a 3-dimensional object. I also fixed a bug in the function.
- I modified the superpixels function, so that it can take 2-dimensional objects too (matrices) besides 3-dimensional images (no need to convert to 3-dimensional outside of the function).
- I added the parameter vectorize_magnitude to the gabor_feature_extraction method of the GaborFeatureExtract R6 class. In case that the vectorize_magnitude parameter is set to FALSE the user will receive the magnitude in form of a matrix ( for instance if the scales parameter is set to 2 and the (rows, cols) of the image are (128, 128) then the resulted magnitude will be a list of length 2 where each sublist will be a matrix with dimensions (128, 128) (pixel-wise magnitude values) )
- I modified the meshgrid_x() and meshgrid_y() Rcpp functions and now they return faster as before
- I modified the check-input-data-cases for the RGB_to_Lab and RGB_to_HSV
- I fixed the “failure: the condition has length > 1” CRAN error which appeared mainly due to the misuse of the base class() function in multiple code snippets in the package (for more info on this matter see: https://developer.r-project.org/Blog/public/2019/11/09/when-you-think-class.-think-again/index.html)
- I renamed the internal function norm_range_gauss to norm_matrix_range. Now, the norm_matrix_range function is accessible when loading the OpenImageR package. Moreover, I excluded rounding [ round() ], which occured by default in the norm_range_gauss function.
- I fixed the duplicated vignette title warning
- I fixed a documentation error as suggested in issue 11 of the OpenImageR Github repository (converted radians to degrees in all scripts of the OpenImageR package).
- I converted the OpenImageR package to a header-only package, so that Rcpp functions can be called from another R package.
- I added the SLIC and SLICO superpixel algorithms as header files and as a function (superpixels()) which can be called from within R.
- I added the load_3d_binary() function in case that a user intends to load 3d-image data from a binary file (as is the case when a user writes data when using the superpixels() function).
- I added the RGB (Red-Green-Blue) to LAB (Lightness, A-colour-dimension, B-colour-dimension) colour conversion (RGB_to_Lab()).
- I added the RGB (Red-Green-Blue) to HSV (Hue, Saturation, Value) colour conversion (RGB_to_HSV()).
- I added the vignette “Image_segmentation_superpixels_clustering.Rmd”
- I modified the rotate_nearest_bilinear Rcpp function in the utils.cpp file to fix the ASAN-gcc error.
- I fixed the ASAN-gcc error.
- I commented 3 test cases for the Solaris OS, otherwise it gives an error (see the comments in the test-gabor.R tests file).
- I updated the Vignette Gabor Feature extraction.
I added the GaborFeatureExtract R6 class, which as the name suggests extracts Gabor features from images (I updated the documentation and Vignettes too)
I added the DARMA_64BIT_WORD flag in the Makevars file to allow the package processing big datasets
I removed the threads parameter from the Augmentation function as there is no significant improvement (in execution speed) between a threaded and a non-threaded version. I modified the OpenMP clauses of the .cpp files to address the ASAN errors.
I fixed a bug in the translation_mat function of the utils.cpp source file (https://github.com/mlampros/OpenImageR/issues/6 and https://github.com/mlampros/OpenImageR/issues/7). Moreover, I added the padded_value parameter in the translation and Augmentation R functions to allow the user to adjust the shifted values ( in case that shift_rows or shift_cols is not 0 ). The padded_value parameter can take either a numeric value or a numeric vector depending on the dimensions of the image. Previously, the shifted values were replaced by default with 0.
I fixed a bug in the dhash function according to the Changelog of the imagehash python library. Moreover, I added a function to round float numbers in the image_hashing.cpp source file, otherwise by creating hash values using the bilinear interpolation method the returned values are incorrect.
I modified the R script files to accept extension types similar to .tiff such as .tif, .TIFF or .TIF
I modified the Augmentation function to correct an issue which occured due to the zca_comps parameter
I did OpenMP optional for all cpp files due to the fact that the OSX OS does not currently support openMP ( r-devel-osx-x86_64-clang )
I removed the floor() function from the lines 45, 46 of the hog_features.cpp, because otherwise Solaris OS throws the following error:
- error: call of overloaded ‘floor(int)’ is ambiguous
I can not fix the following error in the hog_features.cpp file for the r-oldrel-windows platform as it has either to do with the RcppArmadillo version or is GCC specific,
- error: could not convert ‘{{-0x00000000000000001, 0, 1}, {-0x00000000000000002, 0, 2}, {-0x00000000000000001, 0, 1}}’ from ‘’ to ‘arma::mat {aka arma::Mat}’
Platforms, which support newer versions of GCC (GCC >= 4.9.0) and a recent version of RcppArmadillo (>= 0.7) do not throw such an error.
I modified the Makevars files, so that OpenImageR can be installed error-free in the following OS’s,
- r-devel-osx-x86_64-clang
- r-patched-solaris-sparc
- r-patched-solaris-x86
- r-oldrel-windows-ix86+x86_64