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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.

copied from cf-staging / r-openimager
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conda 2.8 MB | osx-64/r-openimager-1.2.3-r40h64890a7_0.tar.bz2  2 years and 4 months ago 76 main
conda 2.7 MB | osx-64/r-openimager-1.2.3-r41h64890a7_0.tar.bz2  2 years and 4 months ago 73 main
conda 2.7 MB | linux-64/r-openimager-1.2.3-r41h7525677_0.tar.bz2  2 years and 4 months ago 1702 main
conda 2.7 MB | linux-64/r-openimager-1.2.3-r40h7525677_0.tar.bz2  2 years and 4 months ago 1701 main

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