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OpenImageR
View on CRAN: Click
here
Download and install OpenImageR package within the R console
Install from CRAN:
install.packages("OpenImageR")
Install from Github:
library("remotes")
install_github("cran/OpenImageR")
Install by package version:
library("remotes")
install_version("OpenImageR", "1.3.0")
Attach the package and use:
library("OpenImageR")
Maintained by
Lampros Mouselimis
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-09
Latest Update: 2023-07-08
Description:
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, . 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, and (ii) "SLIC Superpixels", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, EPFL Technical Report no. 149300, June 2010.
How to cite:
Lampros Mouselimis (2016). OpenImageR: An Image Processing Toolkit. R package version 1.3.0, https://cran.r-project.org/web/packages/OpenImageR
Previous versions and publish date:
1.0.1 (2016-07-09 10:10), 1.0.2 (2016-07-11 11:54), 1.0.3 (2017-01-07 15:58), 1.0.4 (2017-02-11 11:17), 1.0.5 (2017-04-17 19:50), 1.0.6 (2017-05-06 12:32), 1.0.7 (2017-10-30 09:50), 1.0.8 (2018-01-16 19:26), 1.0.9 (2018-08-04 00:00), 1.0 (2016-07-07 15:54), 1.1.0 (2018-08-07 20:30), 1.1.1 (2018-08-22 07:10), 1.1.2 (2018-11-08 17:40), 1.1.3 (2018-12-09 19:40), 1.1.4 (2019-01-07 18:00), 1.1.5 (2019-02-10 09:03), 1.1.6 (2019-12-02 00:00), 1.1.7 (2020-06-18 20:40), 1.1.8 (2021-05-04 15:50), 1.1.9 (2021-05-21 09:30), 1.2.0 (2021-09-10 14:10), 1.2.1 (2022-01-27 23:00), 1.2.2 (2022-06-07 16:30), 1.2.3 (2022-08-08 16:30), 1.2.4 (2022-08-18 00:40), 1.2.5 (2022-08-24 13:12), 1.2.6 (2022-10-01 09:10), 1.2.7 (2022-10-29 01:53), 1.2.8 (2022-12-18 18:30), 1.2.9 (2023-05-20 09:10)
Other packages that cited OpenImageR R package
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Other R packages that OpenImageR depends,
imports, suggests or enhances
Functions, R codes and Examples using
the OpenImageR R package
Some associated functions: Augmentation . GaborFeatureExtract . HOG . HOG_apply . List_2_Array . MinMaxObject . NormalizeObject . RGB_to_HSV . RGB_to_Lab . ZCAwhiten . average_hash . convolution . cropImage . crop_image_secondary . delationErosion . dhash . dilationErosion . down_sample_image . edge_detection . flipImage . func_chech_range . func_transform . gamma_correction . gaussian_kernel . getAffineTransform . hash_apply . imageShow . image_thresholding . invariant_hash . laplacian_kernels . load_binary . norm_matrix_range . padding . phash . readImage . resizeImage . rgb_2gray . rotateFixed . rotateImage . runUI . sec_gaus_bl . sec_resiz_array . superpixel_bbox . superpixel_bbox_subset . superpixels . switch_filter . switch_hashing . switch_invariant . translation . uniform_filter . verify_image_extension . warpAffine . writeImage .
Some associated R codes: OpenImageR.R . RcppExports.R . gabor_feature_extraction.R . hash_functions.R . hog_features_rscript.R . launcher_shiny.R . open_image_rscript.R . read_image.R . shiny_rscript.R . superpixels.R . warp_affine.R . write_image.R . Full OpenImageR package functions and examples
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