TINTO: A Novel Framework to Convert Tidy Data into Image for Deep Learning with Convolutional Neural Networks

In this version a filter is created since a matrix of size "2distancetotal_steps+1" is being created to act as a "filter", which covers the whole circular space of the minutiae determined by the distance and by the total number of steps. This "filter", which is a matrix, would be multiplied with a scalar, which is the intensity value. Finally, this resulting matrix is placed as a submatrix within the final matrix where the centre of the submatrix would be the position of the characteristic pixel.

• Blurring have been improved.
• Two new functions: createFilter and blurringFilter
• The distance now is in pixels (previously it was by percentage). By default is 2
• Sub-matrices have been created for blurring.
• Fixed the vertical and horizontal pixels bug.