Find text lines in scanned images and segment the lines into words.
    Includes implementations of the paper 'Novel A* Path Planning Algorithm for Line Segmentation of Handwritten Documents' by Surinta O. et al (2014) <doi:10.1109/ICFHR.2014.37> available at <https://github.com/smeucci/LineSegm>,
    an implementation of 'A Statistical approach to line segmentation in handwritten documents' by Arivazhagan M. et al (2007) <doi:10.1117/12.704538>, 
    and a wrapper for an image segmentation technique to detect words in text lines as described in the paper 'Scale Space Technique for Word Segmentation in Handwritten Documents' by Manmatha R. and Srimal N. (1999) paper at <doi:10.1007/3-540-48236-9_3>, wrapper for code available at <https://github.com/arthurflor23/text-segmentation>.
    Provides as well functionality to put cursive text in images upright using the approach defined in the paper 'A new normalization technique for cursive handwritten words' by  Vinciarelli A. and Luettin J. (2001) <doi:10.1016/S0167-8655(01)00042-3>.

The goal of 'image2data' is to extract images and return
    them into a data set, 
    especially for teaching data manipulation and data visualization. 
    Basically, the eponymous function takes an 
    image file ('png', 'tiff', 'jpeg', 'bmp') and turn it into a data set,
    pixels being rows (subjects) and columns (variables) being their coordinate positions (x- and y-axis) and their respective color (in hex codes). 
    The function can return a complete image or a range of color (i.e., contour, silhouette).
    The data can then be manipulated as would any data set by either creating other related variables (to hide the image) or as a genuine toy data set.

Note that 'imageData' has been superseded by 'growthPheno'. 
    The package 'growthPheno' incorporates all the functionality of 
    'imageData' and has functionality not available in 'imageData', 
    but some 'imageData' functions have been renamed.  
    The 'imageData' package is no longer maintained, but is retained 
    for legacy purposes.