image_thresholding

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.

Lampros Mouselimis

OpenImageR

An Image Processing Toolkit

Sight Machine

Johannes Buchner

Mohammad Haghighat

Radhakrishna Achanta

Oleh Onyshchak

image_thresholding function

<dl><dt>image</dt>
<dd>matrix or 3-dimensional array where the third dimension is equal to 3</dd>
<dt>thresh</dt>
<dd>the threshold parameter should be between 0 and 1 if the data is normalized or between 0-255 otherwise</dd></dl>

Arguments

Author

image thresholding — image_thresholding

<dl>

<dt>image</dt>
<dd>matrix or 3-dimensional array where the third dimension is equal to 3</dd>


<dt>thresh</dt>
<dd>the threshold parameter should be between 0 and 1 if the data is normalized or between 0-255 otherwise</dd>

</dl>

image thresholding

image_thresholding: image thresholding

Description

Usage

Value

Arguments

Author

Details

Examples