Package: OpenImageR 1.3.0
OpenImageR: An Image Processing Toolkit
Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform, the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library. The Gabor Feature Extraction functions are based on 'Matlab' code of the paper, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification" by M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015, <doi:10.1016/j.eswa.2015.06.025>. The 'SLIC' and 'SLICO' superpixel algorithms were explained in detail in (i) "SLIC Superpixels Compared to State-of-the-art Superpixel Methods", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, num. 11, p. 2274-2282, May 2012, <doi:10.1109/TPAMI.2012.120> and (ii) "SLIC Superpixels", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, EPFL Technical Report no. 149300, June 2010.
Authors:
OpenImageR_1.3.0.tar.gz
OpenImageR_1.3.0.zip(r-4.5)OpenImageR_1.3.0.zip(r-4.4)OpenImageR_1.3.0.zip(r-4.3)
OpenImageR_1.3.0.tgz(r-4.4-x86_64)OpenImageR_1.3.0.tgz(r-4.4-arm64)OpenImageR_1.3.0.tgz(r-4.3-x86_64)OpenImageR_1.3.0.tgz(r-4.3-arm64)
OpenImageR_1.3.0.tar.gz(r-4.5-noble)OpenImageR_1.3.0.tar.gz(r-4.4-noble)
OpenImageR_1.3.0.tgz(r-4.4-emscripten)OpenImageR_1.3.0.tgz(r-4.3-emscripten)
OpenImageR.pdf |OpenImageR.html✨
OpenImageR/json (API)
NEWS
# Install 'OpenImageR' in R: |
install.packages('OpenImageR', repos = c('https://mlampros.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlampros/openimager/issues
filteringgabor-feature-extractiongabor-filtershog-featuresimageimage-hashingprocessingrcpparmadillorecognitionslicslicosuperpixels
Last updated 1 years agofrom:59b3c72be7. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win-x86_64 | OK | Nov 06 2024 |
R-4.5-linux-x86_64 | OK | Nov 06 2024 |
R-4.4-win-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-aarch64 | OK | Nov 06 2024 |
R-4.3-win-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-aarch64 | OK | Nov 06 2024 |
Exports:Augmentationaverage_hashconvolutioncropImagedelationErosiondhashdilationErosiondown_sample_imageedge_detectionflipImageGaborFeatureExtractgamma_correctiongetAffineTransformhash_applyHOGHOG_applyimage_thresholdingimageShowinvariant_hashList_2_Arrayload_binaryMinMaxObjectnorm_matrix_rangeNormalizeObjectpaddingphashreadImageresizeImagergb_2grayRGB_to_HSVRGB_to_LabrotateFixedrotateImagesuperpixel_bboxsuperpixel_bbox_subsetsuperpixelstranslationuniform_filterverify_image_extensionwarpAffinewriteImageZCAwhiten
Dependencies:base64encbslibcachemclicommonmarkcrayondigestfastmapfontawesomefsgluehtmltoolshttpuvjpegjquerylibjsonlitelaterlifecyclemagrittrmemoisemimepngpromisesR6rappdirsRcppRcppArmadillorlangsassshinysourcetoolstiffwithrxtable
Functionality of the OpenImageR package
Rendered fromThe_OpenImageR_package.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2022-11-17
Started: 2016-07-08
Gabor Feature extraction
Rendered fromGabor_Feature_Extraction.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2022-06-12
Started: 2018-08-08
Image segmentation based on Superpixels and Clustering
Rendered fromImage_segmentation_superpixels_clustering.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2021-05-04
Started: 2018-11-08
Warp Affine using R
Rendered fromWarp_Affine.Rmd
usingknitr::rmarkdown
on Nov 06 2024.Last update: 2022-08-08
Started: 2022-08-08